Transmit Waveform Optimization of Polarimetric Radar in Signal-dependent Clutter

Ting SUN; Xu CHENG

doi:10.11999/JEIT200138

Volume 43 Issue 5

May 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(5): 1275-1281

Ting SUN, Xu CHENG. Transmit Waveform Optimization of Polarimetric Radar in Signal-dependent Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1275-1281. doi: 10.11999/JEIT200138

Citation:

Ting SUN, Xu CHENG. Transmit Waveform Optimization of Polarimetric Radar in Signal-dependent Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1275-1281. doi: 10.11999/JEIT200138

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Transmit Waveform Optimization of Polarimetric Radar in Signal-dependent Clutter

doi: 10.11999/JEIT200138

Ting SUN¹,
Xu CHENG^{2
,
,}

1.
College of Network Engineering, Zhoukou Normal University, Zhoukou 466000, China
2.
School of Electronic and Communication Engineering, Sun Yat-Sen University, Shenzhen 518107, China

Funds: The National Natural Science Foundation of China (61801527), Shenzhen Science and Technology Program (KQTD20190929172704911), China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronic and Information System（CEMEE2021K0201B）

Received Date: 2020-02-28
Rev Recd Date: 2020-10-18

Available Online: 2020-11-16

Publish Date: 2021-05-18

Abstract

Abstract

Waveform optimization can effectively suppress the interference, and improve significantly radar performance. With considering polarimetric radars as the object of study and to maximize the output Signal-to-Clutter plus Noise Ratio (SCNR) as the merit of figure, an optimization problem of joint transmit waveform and receive filter design under both the energy and similarity constraints is constructed. Then, an optimization procedure for transmit signal and receive filter which improves sequentially the SCNR is exploited. Each iteration of the algorithm requires the solution of both a convex and a hidden convex optimization problem, and the resulting computational complexity is linear with the number of iterations and polynomial with the receive filter length. Finally, the convergence of the algorithm and the property of the optimized waveform in the ambiguous domain are analyzed through numerical experiments. Results show that, compared to the existing methods, the proposed approach improves significantly the SCNR.
- Polarimetric radar,
- Waveform optimization,
- Waveform design,
- Similarity constraint

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References(18)

References

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