Radar target detection method based on combined adaptive normalized matched filter

A technology of matched filtering and radar targets, which is applied in the field of target detection and can solve problems such as difficulty in meeting

Active Publication Date: 2015-04-29
XIDIAN UNIV
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Problems solved by technology

However, the use of the ANMF detector is limited by two aspects. One is that the sea clutter must be stationary or approximately stationary during the accumulation time, and there are enough spatially uniform samples to estimate the covarian

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  • Radar target detection method based on combined adaptive normalized matched filter
  • Radar target detection method based on combined adaptive normalized matched filter
  • Radar target detection method based on combined adaptive normalized matched filter

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[0033] The present invention will be further described below in conjunction with accompanying drawing:

[0034] refer to figure 1 , is a flow chart of the radar target detection method based on combined adaptive normalized matched filtering of the present invention. The radar target detection method based on combined adaptive normalized matched filtering comprises the following steps:

[0035] Step 1. Use the radar to transmit continuous pulse signals. The pulse signals irradiate the surface of the object to generate echoes. Use the radar to receive the continuous echo data matrix X along the distance dimension and pulse dimension. The echo data matrix X is of size K×Q Matrix, K represents the number of accumulated pulses received by the radar, and Q represents the number of distance units of the radar.

[0036] In the implementation example of the present invention, the expression form of the element X(k, q) of the kth row and the qth column of the echo data matrix X is as ...

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Abstract

The invention belongs to the technical field of target detection, and provides a radar target detection method based on combined adaptive normalized matched filter, wherein the method is used for detecting weak movement targets under the sea clutter background. The method includes the specific steps that a coherent pulse string transmitted by a beam position resided by radar receives echo data of all distance units to form a distance-pulse plural matrix; partition and combination are conducted on the echo data matrix along the pulse dimension according to a certain rule; the noise wave covariance matrix estimation values of the distance units to be detected are computed for the distance units to be detected of echo data blocks obtained through partition; the values of detection statistic of all Doppler channels are solved through the estimation values and the data of the distance units to be detected, the maximum value of the detection statistic in each echo data block is obtained, and the values of all combination detection statistic are solved through the product of the maximum values; the judgment threshold is worked out through a Monte Carlo method according to the set false alarm probability and the number of the combined echo data blocks; if the value of the combined detection statistic is larger than the judgment threshold, it is judged that the distance units to be detected have a target, and if not, it is judged that the distance units to be detected do not have a target.

Description

technical field [0001] The invention belongs to the technical field of target detection, and specifically relates to an adaptive normalized matching filter detection method and a target Doppler diffusion problem, which can be used to detect weak moving targets under the sea clutter background of sea radar. Background technique [0002] The effective detection of weak moving targets in the background of sea clutter is one of the important tasks of shore-based and ship-based sea monitoring radars. The main difficulty in detection lies in the complex characteristics of the sea clutter itself and the low signal-to-clutter ratio of the target echo. Sea clutter is related to natural factors such as sea conditions, climate environment, wind speed, and wind direction, as well as radar frequency, polarization mode, resolution, and grazing angle, etc., showing temporally non-stationary, spatially non-uniform, and statistical characteristics complex features such as non-Gaussian. The...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 水鹏朗许述文樊书辰李东宸
Owner XIDIAN UNIV
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