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BIDON, Stéphanie, 12/18/2019 10:04 AM
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.
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/