Range-spread target polarization adaptive detection method without auxiliary data

A distance-extended target and self-adaptive detection technology, applied in the field of target detection, can solve the problems of detector detection performance loss and large difference, and achieve the effects of reducing computational complexity, improving detection performance, and good detection effect

Inactive Publication Date: 2015-12-30
XIDIAN UNIV
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Problems solved by technology

However, because it is difficult to obtain a large amount of auxiliary data in practical applications, the covariance matrix of the clutter obtained by the estimation algorithm is very different from the actual clutter covariance matrix, which in turn causes the detection performance of the detector using the two-step method severe loss

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  • Range-spread target polarization adaptive detection method without auxiliary data
  • Range-spread target polarization adaptive detection method without auxiliary data
  • Range-spread target polarization adaptive detection method without auxiliary data

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with accompanying drawing:

[0028] refer to figure 1 , the implementation steps of the present invention are as follows:

[0029] Step 1, using a binary hypothesis to describe the radar target detection problem.

[0030] Since the radar target may or may not exist, the radar target detection problem can be described using binary assumptions:

[0031] { H 0 : z k = c k , k = 1 , ... , ...

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Abstract

The invention discloses a range-spread target polarization adaptive detection method without auxiliary data under a wide-band radar system. The problem that in the prior art, on the condition that the auxiliary data do not exist, detection performance is severely damaged is mainly solved. The method comprises the steps that 1, radar target detection is described by means of a dualism hypothesis, and clutter signals of all polarization channels are built according to an autoregression AR model; 2, a probability density function of a detection signal under the condition that a target exist is obtained according to the clutter signals represented by the autoregression AR model; 3, an unknown parameter is estimated according to the probability density function; 4, by means of a Wald detection method and an estimated value of the unknown parameter, a range-spread target polarization adaptive detector without the auxiliary data is obtained; 5, a detection threshold gamma of the detector is determined through a Monte Carlo experiment; 6, a detection result is obtained by bringing radar echo data into the detector. According to the range-spread target polarization adaptive detection method without the auxiliary data, on the condition that the auxiliary data do not exist, the detection performance to a wide-band radar target can be improved.

Description

technical field [0001] The invention belongs to the technical field of target detection, and in particular relates to a distance-extending target detection method, which can be used for target detection under a broadband radar system. Background technique [0002] Generally, the length of the wideband radar target is longer than the range resolution unit size of the wideband radar, so the target detected by the wideband radar is no longer a point target. Targets under wideband radar are often referred to as distributed targets or range-extended targets. Due to the influence of the material, structure and other factors of the radar target, the scattering intensity of electromagnetic waves to each part of the target is different, so the echo of the distance extended target often carries more detailed and rich target information than the echo of the point target. Make full use of these echoes It can improve the detection ability of the target very well. The radar polarization...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/292G01S13/02G01S13/04
CPCG01S7/2927G01S13/0209G01S13/04
Inventor 许述文薛健水鹏朗蒲佳
Owner XIDIAN UNIV
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