Sequential space-time adaptive processing parameter estimation method

Abstract

The invention discloses a sequential space-time adaptive processing parameter estimation method. The method mainly solves the problems of grid mismatching, high computational complexity and the like existing in space-time two-dimensional parameter joint estimation in the prior art. The method comprises the steps that an electromagnetic pulse emitter and a uniform linear array are deployed; the linear array is used for receiving echoes reflected by peripheral objects and conducting space-time signal modeling; a sampling covariance matrix of space-time signals is calculated; a space-time power spectrum is initialized; a space-time relative probability spectrum is established and prior knowledge is extracted; time domain parameter estimation is carried out on the basis of rotation invarianceof a pulse sequence; space domain parameter estimation is carried out on the basis of rotation invariance of the uniform linear array; meshing-free space-time parameter estimation parameters are matched to finally obtain space-time parameter estimation results. According to the method, the efficiency and precision of target characteristic parameter estimation in the space-time adaptive processingprocess are improved, and the method can be applied to the fields of airborne radar detection tracking, unmanned aerial vehicle communication and the like.

Description

technical field [0001] The invention belongs to the field of signal processing, in particular to the estimation of space-time parameters of moving targets in the process of airborne radar tracking, in particular to a sequence-based space-time adaptive processing parameter estimation method, which can effectively solve grid mismatch and space-time parameter estimation methods. Time parameter matching problem can be used for target detection and tracking of active airborne radar. Background technique [0002] Space-time adaptive processing is an important part of radar signal processing technology. It refers to the use of electromagnetic pulse transmitters to transmit electromagnetic pulses at specific intervals, and to receive electromagnetic waves reflected by surrounding objects through array antennas, and through modern signal processing technology and various The class optimization method realizes the effective processing of the received signal statistics, thereby realizi...

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Problems solved by technology

However, this method is rarely used in the field of space-time adaptive processing, because in the process of space-time two-dimensional joint modeling, space-time rotation factors are difficult to be separated separately under the idea of ​​joint processing

[0005] At present, most of the existing space-time adaptive parameter estimation methods are based on the sparse method and optimize the grid mismatch problem through various optimization methods in the specific implementation process, but the optimization method generally cannot completely solve the mismatch problem. problem, and two-dimensional discrete joint search and optimization compared with the one-dimensional case brings a square order of computational complexity; in practical applications, considering the real-time requirements of moving target signal processing, high computational complexity will lead to calculation There is a direct delay between the result and the actual situation, which affects the effect of space-time adaptive processing

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