Self-adaptive sum and difference beam forming method

Abstract

The invention belongs to the field of radars, and discloses a sum and difference beam forming method, which includes the following steps: firstly, acquiring a zero point constraint covariance matrix of a difference beam under an ideal condition, and constructing an array error model; secondly, calculating a zero point constraint covariance mean matrix of the zero point constraint covariance matrixby using the zero point constraint covariance matrix and the array error vector, and constructing a taper matrix to taper the zero point constraint covariance mean matrix; and then constructing a lowsidelobe zero point alignment and beam constraint optimization model and a low sidelobe zero point alignment difference beam constraint optimization model, solving the model to obtain a sum beam formation optimal weight vector and a difference beam formation optimal weight vector, so as to further obtain a low sidelobe zero point alignment difference beam. According to the method, the width of the alignment zero point can be widened while the sum and difference beam sidelobe level is reduced, so that the anti-interference performance of a radar in target parameter estimation is improved.

Description

technical field [0001] The present invention relates to the technical field of radar, in particular to an adaptive and differential beam forming method. Background technique [0002] Radar plays a very important role in target detection and tracking. With the development of radar technology, phased array radar is more and more applied to practical engineering projects. At present, the increasingly harsh and complex working environment puts forward higher requirements on the performance of radar: radar should also have the ability of adaptive interference suppression while completing functions such as search, interception, tracking, and guidance. [0003] The sum-and-difference beam angle measurement technology has the advantages of simplicity, reliability, small amount of calculation, and high data rate, so it is widely used in phased array radars to estimate the relevant parameters of the target, and has important military and civilian values. The so-called sum-difference ...

AI Technical Summary

Problems solved by technology

However, in actual scenarios, there are unavoidably array errors including unit amplitude and phase errors, unit position errors, and inter-unit mutual coupling. The phenomenon is more serious, and it is difficult to align the sum and difference beam nulls with existing adaptive beamforming methods

At the same time, the array error will also cause the side lobe level of the sum and difference beam to increase, resulting in a significant decrease in the adaptive interference suppression performance of the radar array

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