High Resolution Multidimensional Parameters Estimation for Bistatic EMVS-MIMO Radar: From the Difference Coarray Perspective

PAN Xiaoyi; XIE Qianpeng; MENG Xiaoming; CHEN Jiyuan; AI Xia; LIU Jiaqi

doi:10.11999/JEIT221259

Volume 45 Issue 11

Nov. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(11): 3860-3867

PAN Xiaoyi, XIE Qianpeng, MENG Xiaoming, CHEN Jiyuan, AI Xia, LIU Jiaqi. High Resolution Multidimensional Parameters Estimation for Bistatic EMVS-MIMO Radar: From the Difference Coarray Perspective[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3860-3867. doi: 10.11999/JEIT221259

Citation:

PAN Xiaoyi, XIE Qianpeng, MENG Xiaoming, CHEN Jiyuan, AI Xia, LIU Jiaqi. High Resolution Multidimensional Parameters Estimation for Bistatic EMVS-MIMO Radar: From the Difference Coarray Perspective[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3860-3867. doi: 10.11999/JEIT221259

Citation:

PAN Xiaoyi, XIE Qianpeng, MENG Xiaoming, CHEN Jiyuan, AI Xia, LIU Jiaqi. High Resolution Multidimensional Parameters Estimation for Bistatic EMVS-MIMO Radar: From the Difference Coarray Perspective[J]. Journal of Electronics & Information Technology, 2023, 45(11): 3860-3867. doi: 10.11999/JEIT221259

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High Resolution Multidimensional Parameters Estimation for Bistatic EMVS-MIMO Radar: From the Difference Coarray Perspective

doi: 10.11999/JEIT221259 cstr: 32379.14.JEIT221259

1.
State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China
2.
95913 Troops of the Chinese People’s Liberation Army, Shenyang 110041, China
3.
Shanghai Second Military Representative Office, Nanjing Military Representative Office of the Ministry of Army Equipment, Shanghai 200031, China
4.
National Key Laboratory of Science and Technology on Test physics & Numerical Mathematics, Beijing 100076, China

Funds: The National Natural Science Foundation of China (61890545, 61890542, 61890540), Changsha Science and Technology Project Funding Program(Kq2209002)

Received Date: 2022-09-29
Rev Recd Date: 2023-02-01

Available Online: 2023-02-04

Publish Date: 2023-11-28

Abstract

Abstract

This paper employs the difference coarray structures of transmit/receive EMVS to enhance the multidimensional parameter estimation performance in bistatic EMVS-MIMO radar. The difference coarrays of transmit/receive EMVS are built through the high-order tensor operation for receiving data. First, a fifth-order tensor model with the difference coarray of the original transmits/receive EMVS can be obtained by applying the tensor permutation rule and generalized tensorization. Additionally, the repeated elements in the difference coarray can be removed by using two selection matrices, where the obtained degree of freedom of the difference coarray is twice that of the original array. Then, a third-order tensor model with the third way fixed at 36 can be developed by using the generalized tensorization again. Finally, the PARAFAC algorithm is adopted to effectively estimate the transmit/receive four-dimensional parameter. Simulation demonstrate that the difference coarray can efficiently enhance the multi-dimensional parameter estimation performance in bistatic EMVS-MIMO radar.
- Bistatic EMVS-MIMO Radar,
- Higher-order tensor model,
- Difference coarray,
- Multidimensional parameters estimation,
- PARAFAC algorithm

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References(22)

References

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