A deconvolution based mimo sonar range sidelobe suppression method

Abstract

The invention relates to a deconvolution-based MIMO sonar range sidelobe suppression method. The proposed method designs an optimal point spread function according to the orthogonal waveform used by the MIMO sonar, and uses the optimal point spread function and Richardson-Lucy algorithm to output absolute value to the beam. The value is deconvolved to effectively suppress range side lobes in MIMO sonar imaging results. Compared with the traditional MIMO sonar imaging method, the deconvolution-based MIMO sonar range sidelobe suppression method proposed in the present invention can significantly reduce the range sidelobe in the imaging output.

Description

technical field [0001] The invention belongs to the field of sonar imaging, in particular to a deconvolution-based MIMO sonar range sidelobe suppression method. Background technique [0002] In the field of underwater acoustic imaging, multiple-input multiple-output (MIMO: multiple-input multiple-output) sonar can achieve better angular resolution than traditional single-input multiple-output (SIMO: single-input multiple-output) sonar (Liu XH, Sun C, Zhuo J, and et al, "Devising MIMO arrays for underwater 3-Dshort-range imaging," in Proc MTS / IEEE OCEANS'12, Hampton Roads, USA, pp.1-7, Oct.2012. Sun C, Liu X H, Zhuo J, and et al, "High-Resolution 2-D Sector-ScanImaging Using MIMO Sonar with Narrowband LFM pulses," in Proc OCEANS'13MTS / IEEE, San Diego, USA, Sep. 2013.) . However, due to the imperfect orthogonality between the transmitted waveforms used and the waveform distortion caused by the underwater acoustic channel, there is a high range-dimensional sidelobe interferen...

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Problems solved by technology

However, due to the non-perfect orthogonality between the transmitted waveforms used and the waveform distortion caused by the underwater acoustic channel, there are high range-dimensional sidelobe interferences in the output of MIMO sonar imaging results (Liu Xionghou, Sun Chao, Zhuo Jie, etc. Mismatch filtering processing of MIMO imaging sonar based on convex optimization method. Journal of Northwestern Polytechnical University, 2013; 31(3):367-372)

Although the use of longer coding sequences can suppress the sidelobe of the distance dimension to a certain extent, it is easy to cause problems such as excessive calculation and poor waveform robustness.

How to effectively suppress the sidelobe of the distance dimension without increasing the length of the coding sequence, the existing research cannot solve this problem

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