Target detection method and device based on symmetric spectral characteristics and subsymmetric characteristics

Abstract

The invention relates to the field of signal detection, and particularly relates to a target detection method based on symmetrical spectral characteristics and sub-symmetrical characteristics and a target detection device thereof and a system. The target detection method comprises the steps that a set of echo data are received and multiple echo data of the echo data are selected to act as master data, and multiple echo data of the set of echo data apart from the master data are selected to act as auxiliary data, wherein the master data and the auxiliary data have the same reverberation covariance matrix, and the covariance matrix has the predetermined sub-symmetrical characteristics; the master data and the auxiliary data are transformed based on the sub-symmetrical characteristics and the symmetrical spectral characteristics of the reverberation covariance matrix; the detection statistics is calculated according to the transformation result of the master data, the maximum likelihood estimation of the reverberation covariance matrix and the target nominal guide vector; and the detection statistics is compared with the predefined threshold, and existence of the target is judged according to the comparison result. The space-time detection robustness under the background of partial uniform reverberation can be effectively enhanced by using the symmetrical characteristics of the power spectrum and the sub-symmetrical characteristics of display.

Description

technical field [0001] The invention relates to the field of signal detection, and in particular designs a target detection method and device based on symmetrical spectral characteristics and subsymmetrical characteristics. Background technique [0002] Due to the existence of reverberation, the performance of active sonar to detect targets is greatly affected. Reverberation can be regarded as a kind of non-stationary noise with strong correlation with signal, two-dimensional expansion of time and space. Due to these complex characteristics of reverberation, traditional methods, such as matched filtering, are difficult to improve the performance of sonar detection. In order to solve this problem, the joint processing of space domain and frequency domain should be considered at the same time to realize space-time adaptive detection. In fact, space-time adaptive detection realizes the integration of reverberation suppression and target detection. Compared with the space-time...

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Problems solved by technology

[0005] Another impact of the complexity of the underwater environment is that the length of the available auxiliary data will be greatly reduced. The adverse effects on the existing detection methods include: 1) the detection performance is greatly reduced, 2) when the length of the auxiliary data is less than empty Existing methods will not work properly when the number of dimensions

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