Rapid estimation method of radar target angle under main lobe and side lobe jamming backgrounds

Abstract

The invention discloses a rapid estimation method of a radar target angle under main lobe and side lobe jamming backgrounds. The rapid estimation method comprises the following steps: obtaining a multi-data-array vector containing target angle information by radar echo data; computing to transfer an expanded steering vector to a polynomial conversion matrix; converting a differential coefficient of a likelihood function of a radar system normalized space frequency into four sets of low-order polynomials; solving real roots of the four sets of the low-order polynomials; and solving a target normalized space frequency from an actual beam width edge point and the polynomial real roots to obtain a target angle. According to the rapid estimation method disclosed by the invention, the likelihood function of the normalized space frequency can be directly derived; a polar point of the likelihood function is determined by the real roots of the low-order polynomials, and the disadvantages in the prior art that the computation complexity is high, the numerical stability is poor and the rapid estimation method is not applicable to a large array are overcome; the rapid estimation method has the advantages of low computation complexity and good numerical stability, and is particularly suitable for rapidly estimating the radar target angle under the main lobe and side lobe jamming backgrounds in the large array.

Description

technical field [0001] The invention belongs to the technical field of radar angle measurement, and mainly relates to signal processing in angle measurement, in particular to a method for quickly estimating radar target angle under the background of main lobe and side lobe interference, which can be used for the measurement of adaptive multi-channel radar in interference environment horn. Background technique [0002] Measuring the angle of a target is an important function of modern scouting and tracking radars. In 1976, Davis et al. used the grid search maximum likelihood method to obtain the adaptive optimal angle estimation. The advantage of this method is that it can adaptively suppress interference, but this method needs to take a lot of angle grids within the beam width Search for the maximum value of the likelihood function. The accuracy of angle measurement is related to the number of angle grids used for searching. The more grids, the higher the accuracy. Therefor...

AI Technical Summary

Problems solved by technology

However, with the increase of the array element N, due to the complex calculation of the roots of high-order polynomials and poor numerical stability, the process of radar angle measurement takes a long time and the efficiency is low, and these advantages are reduced.

In this way, for large array radars, it is even impossible to achieve target angle measurement that meets the needs of actual combat

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