| Citation: | Yuning QIAN, Yawei CHEN, Jun SUN. Sonar Broadband Adaptive Beamforming Based on Enhanced Keystone Transform[J]. Journal of Electronics & Information Technology, 2019, 41(2): 324-331. doi: 10.11999/JEIT180394
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Keystone transform is an effective broadband array signal pre-processing method, but it has a main problem of array data missing. In order to solve this problem, an enhanced Keystone transform algorithm, which combines the autoregression model with traditional Keystone transform, is proposed in this paper for sonar broadband adaptive beamforming. After phase alignment of broadband array signal using traditional Keystone transform, autoregression models for each frequency are constructed to compensate the missing array data. Then, a robust adaptive beamforming approach is utilized to obtain the target bearing results. The results of simulation studies indicate that the proposed broadband adaptive beamforming algorithm based on enhanced Keystone transform outperforms the beamforming algorithms based on traditional Keystone transform, steered minimum variance and frequency focusing.
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