Random-covariance-matrix-based multi-highlight target time space detection method

A technology of covariance matrix and detection method, which is applied in the field of signal detection, can solve the problems of limited uniform observation data length, performance degradation of multi-bright spot target detection method, etc., and achieve the effect of improving detection performance

Active Publication Date: 2015-10-14
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

In this case, the length of uniform observation data that can be obtained is very limited, which

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  • Random-covariance-matrix-based multi-highlight target time space detection method

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[0024] The technical solutions of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments.

[0025] In the absence of auxiliary data, the invention assumes that the reverberation obeys the colored Gaussian distribution, and the reverberation covariance matrix M is known, and solves the detection problem through the two-step likelihood ratio test criterion to realize the detection of multi-bright spot targets.

[0026] The specific steps are:

[0027] Assuming that the echo is received by a line array composed of N array elements, the echo data of each array element includes a group of echo data received from K distance units, as the data to be detected, expressed as r t , t∈Ω={1,...,K}. Use the set Ω T ∈Ω represents the index of the distance unit where the target signal is located, and the set Ω T The length is L (L≤K), and L corresponds to the number of target echoes, that is, the number of detected multi-...

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Abstract

The invention relates to a random-covariance-matrix-based multi-highlight target time space detection method. A detection problem is solved by using a two-step likelihood-ratio test criterion, thereby realizing detection of a multi-highlight target echo. The method comprises: a group of echo data are obtained by an echo wave received by a sonar array and the obtained group of echo data are used as to-be-detected data; if the reverberation covariance matrix and object guiding vector are known, maximum likelihood estimation values of a target reflection coefficient, an interference index, and a target index are substituted into a likelihood ratio function to obtain a first examination statistical magnitude; and according to inverse-obedience inverse wishart distribution of the reverberation covariance matrix, a maximum posteriori estimation value of the matrix is obtained and thus a second examination statistical magnitude is obtained, and comparison with a threshed value is carried out to complete judgement of target existence. According to the invention, with fully utilization of the priori knowledge, robustness of the high-resolution sonar system is guaranteed under the circumstances that no auxiliary data exit and the inhibition capability of the side-lobe interference is also guaranteed.

Description

technical field [0001] The invention relates to the field of signal detection, and in particular designs a space-time detection method for multi-bright spot targets based on a random covariance matrix. Background technique [0002] Space-time adaptive detection (STAD) is an adaptive processing technology based on the framework of space-time joint and aimed at target detection. It uses the received observation data to calculate the detection statistics and directly determine the existence of the target, thus realizing the reverberation Integration of suppression and object detection. Essentially, reverberation suppression is the process of data whitening, and for STAD, this process is implicit in the detector, so no additional reverberation suppression step is required. Compared with the space-time adaptive processing method which first reverberation suppression and then detection, STAD can use the observation data more effectively, so as to obtain better detection performan...

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Application Information

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IPC IPC(8): G01S7/539G01S15/02
CPCG01S7/539G01S15/02
Inventor 郝程鹏施博鄢社锋马晓川侯朝焕王哲
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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