Improved Smoothed l0 Norm Algorithm for MIMO Radar Signal Snapshot Imaging via Composite Trigonometric Function

TONG Ningning; ZHAO Xiaoru; DING Shanshan; HE Xingyu

doi:10.11999/JEIT170294

Volume 39 Issue 12

Dec. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(12): 2803-2810

TONG Ningning, ZHAO Xiaoru, DING Shanshan, HE Xingyu. Improved Smoothed l0 Norm Algorithm for MIMO Radar Signal Snapshot Imaging via Composite Trigonometric Function[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2803-2810. doi: 10.11999/JEIT170294

Citation:

TONG Ningning, ZHAO Xiaoru, DING Shanshan, HE Xingyu. Improved Smoothed l0 Norm Algorithm for MIMO Radar Signal Snapshot Imaging via Composite Trigonometric Function[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2803-2810. doi: 10.11999/JEIT170294

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Improved Smoothed l0 Norm Algorithm for MIMO Radar Signal Snapshot Imaging via Composite Trigonometric Function

doi: 10.11999/JEIT170294 cstr: 32379.14.JEIT170294

Funds:

The National Natural Science Foundation of China (6157010318)

Received Date: 2017-04-05
Rev Recd Date: 2017-08-23
Publish Date: 2017-12-19

Abstract

Abstract

Smoothed l0(SL0) norm algorithm, using the steepest descent method and gradient projection principle, approaches tol0 norm with selected smooth function, so as to solve the optimization problem and achieve signals reconstruction. A reconstruction algorithmImproved Composite Trigonometric Function (ICTF-SL0) is proposed, researching approximation of smooth function, precision and calculation load of the algorithm. Firstly, composite trigonometric function is chosen as the smooth one, meanwhile constraint condition is designed by adding Total Variation (TV) as a weight value. And then, matrix decomposition is alternated by using Chaotic iteration to accomplish gradient projection. Finally, by contrast with origin SL0 algorithm and other improved algorithms, simulation results demonstrate that ICTF-SL0 algorithm can availably improve imaging precision, decrease calculation load and achieve signal snapshot imaging under sparse array MIMO radar.
- MIMO radar,
- Sparse array,
- Smoothed l0 (SL0) norm algorithm,
- Composite trigonometric function,
- Chaotic iteration,
- Total Variation (TV)

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References(25)

References

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