Efficient Direct Sampling and Processing Strategies

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Efficient Direct Sampling and Processing Strategies
Efficient Direct Sampling
and Processing
Strategies
 Presented by
 Prof Izzet Kale
 Applied DSP and VLSI Research Group (ADVRG)
 University of Westminster

Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
Presentation outline
    o The problem statement and motivation
    o Potential advantages, challenges and
      limitations
    o State-of-the-art in ultra-wideband multi-giga
      sample per second ADCs and DACs
    o A case study of a GNSS Receiver
    o How about Delta-Sigma?
    o Data processor and processing strategies

Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
The problem statement
    and motivation
     • The   aim is to get from the high frequency real-world analog
        signals 10s of GHz to the digital world in one go as quickly
        and painlessly as possible.

     • Once    in the digital domain make use of the very many
        options available to us to condition, rearrange, process and
        repackage these signals for their intended destination and
        use.

     • The Digitally Configurable Radio (Software Defined Radio).
     • Is this possible? at what price and what are the obstacles?
Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
Potential advantages,
      challenges and limitations
     • Time-Interleaving can deliver very high bandwidths.
     • Key   aspect will be oversampled subsampled approaches
        with Time-Interleaving.

     • Intelligent profiling adaptively changing ADCs should be
        possible with adaptively changing sampling frequency as well
        as the number of interleaved paths.

     • Space qualified processes and new paradigms in in-built fault
        tolerant self-test self-repair structures.

     • Nature   of the loop filter changes the bandwidth of the
        converter.
Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
Potential advantages,
      challenges and limitations
     • Integrated on-chip ADC/DACs for single chip RF front-end
            ADVANTAGES
            • Relieves the off-chip comms and data transfer bottleneck
            • Opens up possibilities to multirate and adaptive ADCs
            • Enables powerful signal processing
            • Matching problems and synchronisation problems are
              better controlled (Adaptive DSP can come to the rescue)

            CHALLENGES
            • Noise, isolation, need for suitable fabrication process and
              compatibility with RF and digital circuits
            • Necessity for on-board high speed clock generators and
              careful routing
Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
Potential advantages,
      challenges and limitations
     • High    speed, high resolution
        ADCs are sensitive to the
        quality of the clock signal.

     • The    SNR degrades due to
        aperture jitter for a given
        input frequency.

     • The higher the input
        frequency the higher the
        sensitivity to jitter.

Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
State-of-the-art in ultra-wideband multi-
                giga sample per second ADCs and DACs
10.25 GSps 12-Bit Analog-to-Digital Converter
                                            •     Analog Device AD9213
                                            •     Two-Channel ADC (I and Q)
                                            •     Time-Interleaved Pipeline ADC
                                            •     Resolution: 12-bit
                                            •     Sampling rate: 10.25 GSps
                                            •     Power supply: 1.0V, 2.0V
                                            •     Power consumption: 5.1 W at 10GSps

12.6 GSps 16-Bit Digital-to-Analog Converter
                                             •    Analog Device AD9172
                                             •    Dual Channel
                                             •    3 bypassable, complex data input channels per RF DAC
                                             •    Resolution: 16-bit
                                             •    DAC Sample Rate: 12.6 GSps
                                             •    Power supply: 1.0V, 1.8V
                                             •    Power consumption: 2.55 W at 12GSps

        Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                           Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
State-of-the-art in ultra-wideband multi-
                giga sample per second ADCs and DACs
6 GSps 12-Bit Analog-to-Digital Converter
                                            •     Teledyne e2v EV12AQ600
                                            •     Time Interleaved selectable cores
                                            •     12-bit resolution
                                            •     Single-channel at 6 GSps sampling speed
                                            •     Power supply: 3.3V (analog), 2.5V (I/O), 1.2V (digital),
                                                  optional 1.8V (SPI)
                                            •     Power consumption: 6.6W

7 GSps 12-Bit Digital-to-Analog Converter
                                             •    Teledyne e2v EV12DS460A
                                             •    7GSps facilitating multi-band, direct digital synthesis12-bit
                                                  resolution
                                             •    Power supply: 3.3 V (Digital), 3.3V & 5V (Analog)
                                             •    FPGA Interface facility

        Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                           Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Efficient Direct Sampling and Processing Strategies
State-of-the-art in ultra-wideband multi-
                giga sample per second ADCs and DACs
56GSps 8-Bit Analog-to-Digital Converter
                                              •     Fujitsu 65nm CMOS technology
                                              •     Two-Channel ADC (I and Q)
                                              •     Time-Interleaved SAR ADC (256 SAR per channel)
                                              •     Resolution: 8-bit
                                              •     Two’s complement data format
                                              •     Sampling rate: 56 GSps
                                              •     Power supply: -1.2V, 1.2V, 3.3V
                                              •     Power consumption: 2W per channel (typical)

55-65 GSps 8-bit Digital-to-Analog Converter
                                               •     Fujitsu 40nm CMOS technology
                                               •     Resolution : 8-Bit
                                               •     4 Channels (2 x IQ pairs)
                                               •     Two’s complement data format
                                               •     Sampling Rate : 55 – 65 GSps
                                               •     Power Supply : 1.8V, 0.9V, -0.9V
                                               •     Power Consumption : 0.75W/ch
                                               •     ENOB: 6.5 (-6dBFS sinewave at ~8GHz)
        Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                           Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
A case study of a GNSS Receiver
•   A multi-constellation GNSS receiver should be capable of simultaneously processing multiple GNSS
    signals centred at multiple frequencies.

•   The University of Westminster developed a cutting-edge receiver platform, which consists of a dual-
    channel RF front-end for translating the received high-frequency signals into the baseband, a DSP
    for signal tracking that utilizes a FPGA, and a software suite for performing position computation by
    processing the raw data from the DSP.

•   The RF front-end employs sub-Nyquist sampling technique and incorporates dual-band RF filters in
    order to minimize the number of RF components within the GNSS receiver. For a direct sampling
    based receiver, the function of the ADC is not only restricted to the conversion of the signals from
    analogue to digital domain. It is also used to intentionally alias down the RF signals to a lower IF.

ADVRG’s Dual Tracking Platform and Dual-Tracking Front-End Block Diagram

            Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                               Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
How about Delta-Sigma?

•   Delta-Sigma Modulators❖ for RF Subsampling Receivers
    enable the use of 1-bit ADC.

•   A Time-Interleaved Delta-Sigma Modulator in subsampled
    approach can deliver very high Bandwidths.

•   Reduce RF impairments in satellite radio navigation
    receivers, arising from mismatches between I and Q
    (phase and gain) channels applicable to low-IF or Zero-IF
    (direct conversion) approaches.

•   The University of Westminster receiver ❖❖ is amenable to
    manufacture and attain desired yield as the function of the
    entire receiver has been verified at the transistor level.
    ❖ A. Ucar, E.Cetin. I.Kale, “A Continuous-Time Delta-Sigma Modulator for RF Subsampling Receivers”, IEEE TCAS-II, 2012
    ❖ ❖ E. Cetin, I. Kale, R.C.S. Morling, A. Dempster, Satellite Radio Navigation Receiver, Patent No. US 7,839,314

               Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                                  Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
How about Delta-Sigma?
                                                                 •    3rd order continuous-time Delta-Sigma Modulator
                                                                 •    45nm CMOS Technology
                                                                 •    Sampling rate: 4GSps
                                                                 •    Input Signal: 2Vpp
                                                                 •    Input Bandwidth: 125MHz
                                                                 •    Resolution: 11 bits
                                                                 •    Dynamic range: >70dB

❖   “High Speed and Wide Bandwidth Delta-Sigma ADCs” by Muhammed Bolatkale, 2013

              Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                                 Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
How about Delta-Sigma?

                                                                                       •    3rd order Continuous-Time
                                                                                            Time-Interleaved Delta-Sigma
                                                                                            Modulator
                                                                                       •    90nm CMOS Technology
                                                                                       •    Resolution: 13 bits
                                                                                       •    Input Bandwidth: 20 MHz

❖   PhD Thesis In Electronic Engineering by Jafar Talebzadeh (University of Westminster)

               Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                                  Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Data processor and processing
                                                                 strategies
                                          Frequency spectrum of GPS PRN 4                                                                                                   •   Novel special non-uniform sampling,
         250                                                                                   120

         200
                                                                                               100
                                                                                                                                                                            •   Suitable for CDMA systems including Galileo,
         150
                                                                                               80
                                                                                                                                                                            •   Helps to reduce the number of samples in
                                                                                                                                                                                the system, processing time, memory
                                                                                      |Y(f)|
|Y(f)|

                                                                                               60

         100
                                                                                               40                                                                               requirements and power consumption,
         50
                                                                                               20
                                                                                                                                                                            •   Uses 20 times less samples than
          0
               0   500   1000   1500   2000 2500 3000
                                         Frequency (Hz)
                                                          3500   4000   4500   5000
                                                                                                0
                                                                                                     0   500   1000   1500   2000 2500 3000
                                                                                                                               Frequency (Hz)
                                                                                                                                                3500   4000   4500   5000
                                                                                                                                                                                conventional approach for the same result.
FFT output with 5000 samples                                                                   Novel Recovery Algorithm
                                                                                               output with 250 samples

Multi-element Stacking Pre-processor Scheme Digital
               Beamforming Network
                                                                                                                                                                            •   A multi-element stacking scheme can be
                                                      X
                                                                                                                                                                                used with multiple pre-processing chains
                                                            X
                                                                                                                                                                                along with a single high bandwidth ADC which
                                                                  X
                                                                                                                                                                                is followed by a coarse channeliser to identifiy
                                                                        X                                                                                                       the stacked channels in the digital domain.
                                                                               X                         S             ADC             Channeliser

                                                                        X
                                                                  X
                                                            X
                                                      X

                                                Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                                                                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Data processor and processing
                   strategies
•   Complexity reduced DSP processing for Narrowband Channelisers replacing an FIR with and
    IIR based solution that has significantly lower order for a better performance.

•   The Figure below shows the magnitude response of one of the 240 filters, where a 60 dB
    stopband attenuation is achieved.

•   This new approach does not bring in any notable contribution to the phase deviation of
    individual filters and very suitable to support mobile services.

                      Magnitude Spectrum and Phase Spectrums of a Single Channel

             Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                                Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
Data processor and processing
                   strategies
•   The same can be accomplished for a broadband channeliser. For maximal flexibility one must
    be able to select any combination of 240 channels and glue them together.

•   The deviation throughout the magnitude spectrum is no larger than 0.3 dB.

•   On the other hand, the phase distortion is present only at the transition between adjacent
    channels

                 Magnitude Spectrum and Phase Spectrums of a the combined spectrum
             Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                                Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
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Workshop on High End Digital Processing Technologies and EEE Components for Future Space Missions (HEDPT)
                   Monday 1st October 2018 at ESA-ESTEC in Noordwijk, The Netherlands
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