Partially Correlation Signal Design for MIMO Radar in the Presence of Interference

CHEN Cheng; LI Hongtao; ZHU Xiaohua; HU Heng; ZENG Wenhao

doi:10.11999/JEIT150637

Volume 38 Issue 2

Feb. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(2): 442-449

CHEN Cheng, LI Hongtao, ZHU Xiaohua, HU Heng, ZENG Wenhao. Partially Correlation Signal Design for MIMO Radar in the Presence of Interference[J]. Journal of Electronics & Information Technology, 2016, 38(2): 442-449. doi: 10.11999/JEIT150637

Citation:

CHEN Cheng, LI Hongtao, ZHU Xiaohua, HU Heng, ZENG Wenhao. Partially Correlation Signal Design for MIMO Radar in the Presence of Interference[J]. Journal of Electronics & Information Technology, 2016, 38(2): 442-449. doi: 10.11999/JEIT150637

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Partially Correlation Signal Design for MIMO Radar in the Presence of Interference

doi: 10.11999/JEIT150637

Funds:

The National Natural Science Foundation of China (61401204), Key Technology Research and Development Program of Jiangsu Province (BY2015004-03), Postdoctoral Science Foundation of Jiangsu Province (1501104C)

Received Date: 2015-06-01
Rev Recd Date: 2015-10-30
Publish Date: 2016-02-19

Abstract

Abstract

Transmitted waveform can be designed to improve the SINR performance of colocated MIMO in the preference of interference. However, the optimized waveforms generally have high auto-correlation sidelobes which worsen the detection performance of weak targets at the receiver. To solve this problem, a method of partially correlation signal design for MIMO radar in the presence of interference is proposed in this paper. A set of orthogonal waveforms with constant modulus is weighted at the transmit antenna with the constraint of Peak-to-Average Power Ratios (PAPR), and the objective function is constructed by maximizing the Signal to Interference plus Noise Ratio (SINR) of the receive system. The Sequential Optimization Algorithm based on the Quasi-Newton Method (SOA-QNM) is proposed to find the optimal weights to improve the SINR of the system. Simulation results show that the proposed method can suppress the interference effectively and the emitted power of the transmitted signal can be adaptively concentrated on the direction of the target to improve the SINR performance.
- MIMO radar,
- Partially correlation signal design,
- Interference suppression,
- Peak-to-Average Power Ratios (PAPR)

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References(25)

References

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