An approach to the detection of underwater remote target |
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作者姓名: | CHENXixin JIANGGuojian XUXinsheng XUXinsheng |
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作者单位: | [1]QingdaoAcousticsLaboratory,InstituteofAcoustics,AcademiaSinicaQingdao266023 [2]HarbinEngineeringUniversityHarbin150001,InstituteofAcoustics,AcademiaSinicaQingdao266023 |
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摘 要: | An approach to the detection of underwater remote target by estimating its backscattering coefficient is presented. The key to this approach is that the echo signal is represented in state-variable model and the back-scattering coefficients of target are contained in dynamic noise of this model, thus underwater target can be detected by estimating this dynamic noise, i.e., deconvolving this model. When all noise statistics are a priori known, an optimum deconvolution algorithm based on the optimum state filter is derived, or else, an adaptive deconvolution algorithm based on the adaptive state filter of alternatively estimating the vector state and the noise statistics is developed. In the final simulation test, an echo signal with SNR equal to -6.1 dB is proceeded using the aforementioned two deconvolution algorithms, respectively, and the results demonstrate good performance of the approach.
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关 键 词: | 近似探测 水下间接目标 回声信号 背景散射 噪声模式 水声学 |
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