FPGA Implementation of Direction of Arrival Estimation Method for Polarization Sensitive Array

LIU Lutao; CAO Ying; ZHENG Yu

doi:10.11999/JEIT221146

Volume 45 Issue 9

Sep. 2023

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LIU Lutao, CAO Ying, ZHENG Yu. FPGA Implementation of Direction of Arrival Estimation Method for Polarization Sensitive Array[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3340-3349. doi: 10.11999/JEIT221146

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LIU Lutao, CAO Ying, ZHENG Yu. FPGA Implementation of Direction of Arrival Estimation Method for Polarization Sensitive Array[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3340-3349. doi: 10.11999/JEIT221146

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FPGA Implementation of Direction of Arrival Estimation Method for Polarization Sensitive Array

doi: 10.11999/JEIT221146

LIU Lutao¹,
CAO Ying^{1
,
,},
ZHENG Yu²

1.
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2.
Nanjing Institute of Electronic Technology, Nanjing 210039, China

Funds: The National Natural Science Foundation of China (62071137)

Received Date: 2022-09-01
Rev Recd Date: 2022-11-01

Available Online: 2022-11-05

Publish Date: 2023-09-27

Abstract

Abstract

To solve the problem that embedding the traditional complex MUlti SIgnal Classification (MUSIC) algorithm directly into the Field Programmable Gate Array (FPGA) will consume a lot of hardware resources and computing time, a FPGA implementation scheme of real MUSIC based on polarization sensitive array is proposed. A real value preprocessing method is proposed based on the centrosymmetric property of circular distributed polarization sensitive array. The proposed approach introduces linear transformation on the received signal, thus simplifying the subsequent calculation of polarization MUSIC algorithm. The FPGA scheme reduces the time consumption of the algorithm through the parallel calculation of the covariance matrix module, the parallel Jacobi algorithm of multi-level sweeping in the eigenvalue decomposition module, the multi-scale spectral peak search and the pipeline work of each module. The experimental results show that compared with complex polarization MUSIC, this scheme reduces greatly the hardware resource consumption and time consumption.

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References(16)

References

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