Ambiguity Suppression by Azimuth Phase Coding in Multichannel SAR Systems Folie  DLR -  Institut für Hochfrequenztechnik und Radarsysteme F. Bordoni , M. Younis, G. Krieger IGARSS 2011, 24-29 July, Vancouver, Canada
Outline Introduction APC (Azimuth Phase Coding) technique APC in multichannel SAR (Synthetic Aperture Radar) systems  Figure of merit Numerical analysis APC performance versus system parameters  Example: two multichannel systems for high resolution wide swath imaging Conclusions
Introduction Current spaceborne SAR systems limitation:  trade-off spatial resolution v.s. swath width Research in two main directions: Processing methods for  removing the ambiguities APC - low implementation complexity  - effectiveness for  point and distributed ambiguities New, more flexible SAR systems - Multichannel systems Digital Beamforming (DBF) on receive Multichannel processing  APC is conceived for conventional SAR systems:    APC  in multichannel systems based on DBF on receive?
Review of the APC Technique APC is a technique for range ambiguity suppression, conceived for conventional (1 Tx and 1 Rx) SAR systems  [Dall, Kusk 2004] azimuth sample number,  order of range ambiguity,  APC shift-factor APC residual phase [Dal04] J. Dall, A. Kusk, “Azimuth Phase Coding for Range Ambiguity Suppression in SAR”,   IGARSS   2004. @ round-trip delay  APC modulation  phase Tx pulse number 3) Azimuth filtering over the processing bandwidth  APC demodulation  phase APC is based on three main steps:  1) Azimuth, i.e. pulse to pulse, phase modulation on Tx  2) Azimuth phase demodulation on Rx
APC residual phase    Doppler shift  order of range ambiguity (0 useful signal) M =2    maximum Doppler shift of the 1 st  order range ambiguity    Larger oversampling    Larger ambiguity suppression   Time domain: linear phase Frequency domain: Doppler shift Az. FILTER Az. FILTER
Application to Multichannel Systems MULTICHANNEL PROCESSING N   Rx az. signals sampled at  PRF APC residual phase: 1 2 N Multichannel SAR system: 1 transmitter,  N  receivers     The behavior of the APC changes when applied to a multichannel system  APC residual phase: reconstructed multichannel signal sampled at  PRF eff  =N PRF: PRF   <<  B p
APC & Reconstructed Multichannel Signal  The APC residual phase has no more a linear trend versus the azimuth sample (pulse) number    no shift of the Spectrum    The residual phase a “stair” shape (< ≠> Doppler shift):    The ambiguity spectrum:  ,  ,   PRF (uniform PRF*) *PRF matched to the antenna length and No. of apertures  > regular sampling in azimuth results
Figure of Merit Measurement of the ambiguity suppression induced by APC PSD (Power Spectral Density) range ambiguity of 1st order  if APC is not applied processed bandwidth PSD range ambiguity of 1st order if APC is applied APC Gain: useful signal after multichannel reconstruction (neglect. elev.) Computed on the SAR signal  after multichannel processing Note: the  G apc   depends on the azimuth pattern shape
APC Performance Analysis Reference Multichannel Planar Systems The systems have the same azimuth patterns Effect of the Doppler oversampling The effect of the pattern shape is not evident Behavior of APC versus the number of Rx channels,  N  Processing bandwidth 2316 Hz ≤  B p   ≤ 4168 Hz   Investigation: Parameter  System # 1 2 3(Ref.) 4 Orbit height [km] 520 Carrier frequency [GHz] 9.600 Rx antenna total length [m] 3 6 12 24 Tx antenna length [m] (and Rx subapert. length) 3 No. of az. Rx channels 1 2 4 8 PRF [Hz]  (uniform) 5068 2534 1267 633.5 PRF eff  [Hz] 5068
Numerical Results:  G apc 0.1dB ≤  G apc  ≤ 3.13dB for a given  N , the  G apc   increases with the oversampling factor,   the  G apc   decreases for increasing number of channels,  N the sensitivity of  G apc  to    decreases with increasing  N  APC Gain v.s. oversampling factor For the considered systems, for  M =2:
Numerical Results: PSD v.s.  N larger  N , the upper profile PSD with or without APC are similar and  G apc  reduces Normalized PSD 1 st  range ambiguity after multichannel reconstruction N  = 8 with APC   N  = 2 N  = 1 without APC   N  = 1, 2, 8 The thickness of the curves is a fast variation of the spectrum, due to aliasing
HRWS (High-Resolution Wide-Swath) SAR System promoted by the German Aerospace Centre (DLR) conceived to obtain high resolution and wide swaths  (1 m resolution, 70 km swath width in stripmap mode) Different Rx azimuth patterns & multichannel reconstruction HRWS SAR Multichannel Systems Planar system:  currently adopted design Reflector system: alternative design option, studied in DLR   Parameter  Planar Reflector Orbit height [km] 520 745 Carrier frequency [GHz] 9.600 9.650 Tx/Rx antenna total length [m] 8.75 Paraboloid diameter (elev., az.) [m] 10, 12 Total number of feeds (elev., az.) 60, 10 No. of az. Rx channels 7 10 PRF   [Hz] 1750 2792 Processed bandwidth [Hz] 6252 5946 Oversampling factor 1.960 4.696
Peculiarities HRWS Systems Reflector system Planar system The pattern of each Rx channel covers  B p Multichannel processing: Multi-Aperture Reconstr.  The patters do not change along the swath The pattern of each Rx channel covers  1/N  of  B p Multichannel processing: Spectral decomposition The patters change along the swath Evidence of the dependence of the APC performance on the pattern shape
Numerical Results: Planar HRWS System For  M =2,  G apc  = 0.69 dB The high number of channels (7) and the small oversampling (1.96) associated low   G apc   with APC without APC Normalized PSD 1 st  range ambiguity used to compute the  G apc (after multichannel reconstruction)
Numerical Results: Reflector HRWS System For  M=2,   3.2 dB ≤  G apc   ≤ 8.6 dB over the swath, depending on the azimuth pattern The azimuth pattern strongly affects the APC performance The reflector based system, characterized by a higher oversampling factor (4), takes better advantage from the application of APC Normalized PSD 1 st  range ambiguity used to compute the  G apc (before multichannel reconstruction, single Rx channel) without APC with APC
Conclusions In multichannel systems, the APC effect is no more a frequency shift of the range ambiguity.  Also in multichannel systems, the APC allows for improved ambiguity suppression.  The azimuth pattern strongly affects the APC performance.  For a given azimuth pattern, the suppression is directly proportional to the oversampling factor and inversely proportional to the number of receive channels.  In a conventional SAR system with    = 2, the achievable suppression of each ambiguity of odd order is about 3 dB. In multichannel systems based on planar antenna architectures, the suppression is generally poorer.  Reflector based systems reach better performance, because of the higher oversampling.  In the planar and reflector based HRWS systems the APC suppression is about 0.7 dB and between 3 and 8 dB, respectively.

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2-Bordoni_IGARSS11_APC.ppt

  • 1. Ambiguity Suppression by Azimuth Phase Coding in Multichannel SAR Systems Folie DLR - Institut für Hochfrequenztechnik und Radarsysteme F. Bordoni , M. Younis, G. Krieger IGARSS 2011, 24-29 July, Vancouver, Canada
  • 2. Outline Introduction APC (Azimuth Phase Coding) technique APC in multichannel SAR (Synthetic Aperture Radar) systems Figure of merit Numerical analysis APC performance versus system parameters Example: two multichannel systems for high resolution wide swath imaging Conclusions
  • 3. Introduction Current spaceborne SAR systems limitation: trade-off spatial resolution v.s. swath width Research in two main directions: Processing methods for removing the ambiguities APC - low implementation complexity - effectiveness for point and distributed ambiguities New, more flexible SAR systems - Multichannel systems Digital Beamforming (DBF) on receive Multichannel processing APC is conceived for conventional SAR systems:  APC in multichannel systems based on DBF on receive?
  • 4. Review of the APC Technique APC is a technique for range ambiguity suppression, conceived for conventional (1 Tx and 1 Rx) SAR systems [Dall, Kusk 2004] azimuth sample number, order of range ambiguity, APC shift-factor APC residual phase [Dal04] J. Dall, A. Kusk, “Azimuth Phase Coding for Range Ambiguity Suppression in SAR”, IGARSS 2004. @ round-trip delay APC modulation phase Tx pulse number 3) Azimuth filtering over the processing bandwidth APC demodulation phase APC is based on three main steps: 1) Azimuth, i.e. pulse to pulse, phase modulation on Tx 2) Azimuth phase demodulation on Rx
  • 5. APC residual phase  Doppler shift order of range ambiguity (0 useful signal) M =2  maximum Doppler shift of the 1 st order range ambiguity  Larger oversampling  Larger ambiguity suppression Time domain: linear phase Frequency domain: Doppler shift Az. FILTER Az. FILTER
  • 6. Application to Multichannel Systems MULTICHANNEL PROCESSING N Rx az. signals sampled at PRF APC residual phase: 1 2 N Multichannel SAR system: 1 transmitter, N receivers  The behavior of the APC changes when applied to a multichannel system APC residual phase: reconstructed multichannel signal sampled at PRF eff =N PRF: PRF << B p
  • 7. APC & Reconstructed Multichannel Signal The APC residual phase has no more a linear trend versus the azimuth sample (pulse) number  no shift of the Spectrum  The residual phase a “stair” shape (< ≠> Doppler shift):  The ambiguity spectrum: , , PRF (uniform PRF*) *PRF matched to the antenna length and No. of apertures > regular sampling in azimuth results
  • 8. Figure of Merit Measurement of the ambiguity suppression induced by APC PSD (Power Spectral Density) range ambiguity of 1st order if APC is not applied processed bandwidth PSD range ambiguity of 1st order if APC is applied APC Gain: useful signal after multichannel reconstruction (neglect. elev.) Computed on the SAR signal after multichannel processing Note: the G apc depends on the azimuth pattern shape
  • 9. APC Performance Analysis Reference Multichannel Planar Systems The systems have the same azimuth patterns Effect of the Doppler oversampling The effect of the pattern shape is not evident Behavior of APC versus the number of Rx channels, N Processing bandwidth 2316 Hz ≤ B p ≤ 4168 Hz Investigation: Parameter System # 1 2 3(Ref.) 4 Orbit height [km] 520 Carrier frequency [GHz] 9.600 Rx antenna total length [m] 3 6 12 24 Tx antenna length [m] (and Rx subapert. length) 3 No. of az. Rx channels 1 2 4 8 PRF [Hz] (uniform) 5068 2534 1267 633.5 PRF eff [Hz] 5068
  • 10. Numerical Results: G apc 0.1dB ≤ G apc ≤ 3.13dB for a given N , the G apc increases with the oversampling factor,  the G apc decreases for increasing number of channels, N the sensitivity of G apc to  decreases with increasing N APC Gain v.s. oversampling factor For the considered systems, for M =2:
  • 11. Numerical Results: PSD v.s. N larger N , the upper profile PSD with or without APC are similar and G apc reduces Normalized PSD 1 st range ambiguity after multichannel reconstruction N = 8 with APC N = 2 N = 1 without APC N = 1, 2, 8 The thickness of the curves is a fast variation of the spectrum, due to aliasing
  • 12. HRWS (High-Resolution Wide-Swath) SAR System promoted by the German Aerospace Centre (DLR) conceived to obtain high resolution and wide swaths (1 m resolution, 70 km swath width in stripmap mode) Different Rx azimuth patterns & multichannel reconstruction HRWS SAR Multichannel Systems Planar system: currently adopted design Reflector system: alternative design option, studied in DLR Parameter Planar Reflector Orbit height [km] 520 745 Carrier frequency [GHz] 9.600 9.650 Tx/Rx antenna total length [m] 8.75 Paraboloid diameter (elev., az.) [m] 10, 12 Total number of feeds (elev., az.) 60, 10 No. of az. Rx channels 7 10 PRF [Hz] 1750 2792 Processed bandwidth [Hz] 6252 5946 Oversampling factor 1.960 4.696
  • 13. Peculiarities HRWS Systems Reflector system Planar system The pattern of each Rx channel covers B p Multichannel processing: Multi-Aperture Reconstr. The patters do not change along the swath The pattern of each Rx channel covers 1/N of B p Multichannel processing: Spectral decomposition The patters change along the swath Evidence of the dependence of the APC performance on the pattern shape
  • 14. Numerical Results: Planar HRWS System For M =2, G apc = 0.69 dB The high number of channels (7) and the small oversampling (1.96) associated low G apc with APC without APC Normalized PSD 1 st range ambiguity used to compute the G apc (after multichannel reconstruction)
  • 15. Numerical Results: Reflector HRWS System For M=2, 3.2 dB ≤ G apc ≤ 8.6 dB over the swath, depending on the azimuth pattern The azimuth pattern strongly affects the APC performance The reflector based system, characterized by a higher oversampling factor (4), takes better advantage from the application of APC Normalized PSD 1 st range ambiguity used to compute the G apc (before multichannel reconstruction, single Rx channel) without APC with APC
  • 16. Conclusions In multichannel systems, the APC effect is no more a frequency shift of the range ambiguity. Also in multichannel systems, the APC allows for improved ambiguity suppression. The azimuth pattern strongly affects the APC performance. For a given azimuth pattern, the suppression is directly proportional to the oversampling factor and inversely proportional to the number of receive channels. In a conventional SAR system with  = 2, the achievable suppression of each ambiguity of odd order is about 3 dB. In multichannel systems based on planar antenna architectures, the suppression is generally poorer. Reflector based systems reach better performance, because of the higher oversampling. In the planar and reflector based HRWS systems the APC suppression is about 0.7 dB and between 3 and 8 dB, respectively.

Editor's Notes

  • #3: - Let’s take a briefly look on the outline of the presentation. In the first part of the presentation it will be presented the actual context and the limitation that has motivated the study of a new approach based on the Adaptive Digital beam-Forming. Later on the different tools to better understand this approach are presented and finally the numerical results
  • #4: - Let’s take a briefly look on the outline of the presentation. In the first part of the presentation it will be presented the actual context and the limitation that has motivated the study of a new approach based on the Adaptive Digital beam-Forming. Later on the different tools to better understand this approach are presented and finally the numerical results