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Volume 43 Issue 3
Mar.  2021
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Xiaoyong JIANG, Shengzeng ZHOU, Xuanmin DU. A Passive Broadband Detection Method Based on Space-frequency Joint Optimal Filtering[J]. Journal of Electronics & Information Technology, 2021, 43(3): 865-872. doi: 10.11999/JEIT200672
Citation: Xiaoyong JIANG, Shengzeng ZHOU, Xuanmin DU. A Passive Broadband Detection Method Based on Space-frequency Joint Optimal Filtering[J]. Journal of Electronics & Information Technology, 2021, 43(3): 865-872. doi: 10.11999/JEIT200672

A Passive Broadband Detection Method Based on Space-frequency Joint Optimal Filtering

doi: 10.11999/JEIT200672
  • Received Date: 2020-08-04
  • Rev Recd Date: 2020-12-24
  • Available Online: 2021-01-05
  • Publish Date: 2021-03-22
  • The output Signal-to-Noise Ratio(SNR) of conventional broadband energy detection is reduced in multi-target and strong interference environment, and the detection performance is great reduced. In order to solve the problem, a broadband detection method based on space-frequency joint optimal filtering which combines subarray STeered Minimum Variance(STMV) broadband adaptive beamforming with Eckart filtering is proposed. Firstly, the spatial adaptive processing is carried out by subarray STMV beamforming, and the optimal filtering is realized in spatial domain by using the interference suppression ability of adaptive beamforming. Then, the power spectrum of signal and noise is estimated by maximum likelihood estimation, and Eckart filter is constructed to assign different weights to the output of adaptive beamforming to maximize the output SNR in frequency domain. The influence of spatial sidelobe interference and noise in the frequency band are reduced to make the output SNR maximum by the proposed method. The broadband detection ability of the target can be effectively improved and the broadband detection performance of passive sonar is also improved. The simulation and experimental data processing results verifiy the effectiveness of the method.
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