A Noise Suppression Method for Echoes of Air Targets in Narrowband Radar

Abstract

The invention belongs to the technical field of restraining of noise of aerial target echoes of narrow-band radar and discloses a method for restraining the noise of the aerial target echoes of the narrow-band radar. The method comprises the steps that the narrow-band radar receives an aerial target echo signal and conducts sliding window processing on the aerial target echo signal, and then a post-sliding window processing matrix is obtained; the average power M of a noise signal in a time domain is estimated; an autocorrelation matrix R of the post-sliding window processing matrix E is obtained; the feature vectors of the R are calculated; a feature vector matrix U is formed by the feature vectors of the R; a noise threshold thresh _ Alpha is set and then is subtracted from Lambda r; if Lambda (r-1) - thresh _ Alpha > 0 and Lambda r - thresh _ Alpha < 0 when the value of r is P, a matrix Us is formed by the first P columns of the U; please see the specification for the expression of Es; the aerial target echo signal x which is processed with noise restraining is obtained according to elements of the first column of the matrix Es and elements of the last row of the matrix Es.

Description

technical field [0001] The invention belongs to the technical field of noise suppression of air target echoes of narrowband radars, in particular to a noise suppression method of air target echoes of narrowband radars. Background technique [0002] In modern warfare, due to the needs of combat missions and environments, helicopters, propeller aircraft and jet aircraft undertake different tasks and have different threat levels. Therefore, it is of great significance to realize the detection of these three types of aircraft targets. [0003] So far, the existing air target echo noise suppression methods usually use training data and test data, and the signal-to-noise ratio conditions of the training data and test data are not much different. But in reality, the training data are usually high signal-to-noise ratio data obtained through some cooperative experiments or simulations; however, most of the test data are obtained under some non-cooperative conditions, such as in Duri...

AI Technical Summary

Problems solved by technology

But in reality, the training data are usually high signal-to-noise ratio data obtained through some cooperative experiments or simulations; however, most of the test data are obtained under some non-cooperative conditions, such as in During the war, the complex environment of the battlefield, weather conditions and the distance between the target and the radar will cause the difference in the noise intensity in the test data

In this way, it will bring certain difficulties to the noise suppression of air target echoes

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