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Radar target self-adaptation detection method depending on shape parameters

A technology of adaptive detection and shape parameters, applied in radio wave measurement systems, instruments, etc., can solve the problem of difficult to obtain the optimal performance of composite Gaussian clutter, and achieve the effect of good detection performance

Inactive Publication Date: 2015-01-28
XIDIAN UNIV
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Problems solved by technology

Experimental analysis based on simulated and measured sea clutter shows that simple forms of coherent detection methods are difficult to obtain optimal performance in the case of complex Gaussian clutter

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  • Radar target self-adaptation detection method depending on shape parameters
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  • Radar target self-adaptation detection method depending on shape parameters

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with accompanying drawing:

[0020] refer to figure 1 , is a flow chart of the shape parameter dependent radar target adaptive detection method of the present invention. The radar target adaptive detection method dependent on shape parameters includes the following steps:

[0021] Step 1. Use the radar to transmit continuous pulse signals. The pulse signal will generate echoes when it irradiates the surface of the object. Use the radar to receive the continuous echo data matrix X along the distance dimension and pulse dimension. The echo data matrix X is a K×Q dimensional where K represents the number of distance units of the echo data matrix X, and Q represents the number of accumulated pulses of the echo data matrix X.

[0022] In the embodiment of the present invention, the expression form of the element X(k, q) of the kth row and the qth type column of the echo data matrix X is as follows:

[00...

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Abstract

The invention belongs to the technical field of radar target detection, and particularly relates to a radar target self-adaptation detection method depending on shape parameters. The radar target self-adaptation detection method particularly includes the steps of receiving an echo data matrix X through a radar, calculating power vectors p of Q pulses of K distance units in the echo data matrix X, and obtaining the shape parameters theta of clutters according to the power vectors p; dividing the echo data matrix X into B echo data blocks with the equal line number along the pulse dimension, determining that the kth distance unit of the bth echo data block Xb is a to-be-detected distance unit zb, k of the bth echo data block Xb, and calculating the detecting statistical magnitude sigma b, k of the to-be-detected distance unit zb, k; according to a set false alarm probability f, the pulse number N of each echo data block and the shape parameters theta of the clutters, calculating a detection threshold Tsigma according to the Monte Carlo integration; if the sigmab, k is larger than or equal to the Tsigma, showing that the to-be-detected distance unit of the bth echo data block Xb has a target, and if the sigma b, k is smaller than the Tsigma, showing that the to-be-detected distance unit of the bth echo data block Xb does not have the target.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, in particular to a radar target adaptive detection method dependent on shape parameters, which is used for radar target detection under the background of sea clutter. Background technique [0002] Object detection in sea clutter background is an important application field of radar. Due to the large average power of sea clutter, strong temporal-spatial correlation, and complex statistical characteristics, target detection in the background of sea clutter is also a research difficulty in the field of radar target detection. [0003] The problem of coherent detection of moving targets in the background of non-Gaussian clutter is a research hotspot in the field of radar. In a short coherent processing interval (CPI), since the target echo obeys a simple model, the modeling and processing of clutter becomes the key to target detection. The composite Gaussian model provides an efficie...

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Application Information

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IPC IPC(8): G01S7/41G01S7/285
CPCG01S7/414
Inventor 水鹏朗许述文夏晓云宋希珍
Owner XIDIAN UNIV
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