Examples (radar)

Hereafter you will find :
  • experimental data set that were obtained with SDR-radar systems;
  • processing output examples.

Experimental radar data set from SDR-KIT 2400AD2 Ancortek

Useful information about the SDR-KIT 2400AD2 Ancortek can be found at http://ancortek.com/

IQ data are recorded in MAT-file and can be read with the Matlab code readdata_radar2400AD2.m
IQ imbalance processing is likely to be needed.

Data file Waveform Carrier frequency (GHz) Bandwidth (GHz) PRF (ms) Samples per sweep (-) Scenario description
2017-02-09-10-34-32.mat LFMCW 25 2 1 128 RC car receding in corridor (non moving environment)
2017-07-27-16-57-05.mat LFMCW 24.75 1.5 4 128 No target, corridor with plants on ground in range-gate ca. 20-30 with hidden fan creating a windy environment
2017-07-27-17-01-31.mat LFMCW 24.75 1.5 4 128 No target, corridor with plants on ground in range-gate ca. 20-30 with hidden fan off
2017-07-27-17-07-46.mat LFMCW 24.75 1.5 4 128 RC car receding-closing in corridor with plants on ground in range-gate ca. 20-30 with hidden fan creating a windy environment
VID_20170727_170631_forge.mp4
2017-07-27-13-57-54.mat LFMCW 25 2 4 256 No target, corridor with plants on ground in range-gate ca. 54-82 with hidden fan creating a windy environment
2017-07-27-14-05-00.mat LFMCW 25 2 4 256 No target, corridor with plants on ground in range-gate ca. 54-82 with hidden fan off
2017-07-27-13-42-41.mat LFMCW 24.75 1.5 4 128 RC car receding-closing in corridor with plants on ground in range-gate ca. 54-82 with hidden fan creating a windy environment
VID_20170727_134114_forge.mp4

Examples of processing outputs

Deramping processing

(section in construction)

Doppler processing

(section in construction)

Widedand processing

  • Processing outputs of Bayesian sparse representation techniques [BidTAES2019].
    In these figures, diffuse clutter is present at the selected range gates. The RC car is receding with a velocity approximately equal to $-v_a$.
    The target is well estimated in the blind velocity with the sparse technique AROFF that jointly estimate the diffuse clutter and the target with its off-grid. In addition, only a few and low false estimations arise with AROFF unlike the 3 other sparse techniques.
Outputs Scenario

dataset: 2017-07-27-13-42-41.mat
transparent background: coherent summation for wideband radar
diamond: output of sparse representation
* WON sparse technique assumes white noise and on-grid targets.
* WOFF sparse technique assumes white noise and off-grid targets.
* ARON sparse technique assumes autoregressive-colored noise and on-grid targets.
* AROFF sparse technique assumes autoregressive-colored noise and off-grid targets.
* The MMSE (Minimum Mean Square Error) estimator of target scene is depicted.
$v_a$ is the ambiguous velocity

References

  • [BidTAES2019] Stéphanie Bidon, Marie Lasserre, and François Le Chevalier. Unambiguous sparse recovery of migrating targets with a robustified Bayesian model. IEEE Transactions on Aerospace and Electronic Systems, 55(1) :108–123, Feb 2019. http://oatao.univ-toulouse.fr/22968/