FDA-MIMO radar monopulse distance angle joint estimation method

Abstract

The invention discloses an FDA-MIMO radar monopulse distance angle joint estimation method. The method comprises the following steps: constructing an angle-distance dependent transmit-receive steering vector of an FDA-MIMO radar; acquiring a monopulse receiving signal vector z by using the FDA-MIMO radar aiming at echo data of a target, wherein the expression of z is constructed as z = beta1s (u, delta) + n, beta1 represents a target reflection complex coefficient, and n represents a Gaussian color noise vector; sequentially constructing a monopulse vector r, a Bayesian correction vector mu and a slope correction matrix C based on s (u, delta), z, and an initial angle u0 and an initial distance delta0 which are obtained in advance; constructing an initial distance-angle vector h0 by utilizing u0 and delta0, and obtaining a corrected distance-angle vector hAMP by utilizing h0, r, mu and C; and projecting the hAMP to a predetermined value domain space about u and delta value ranges to obtain an estimated distance-angle vector containing a distance estimated value and an angle estimated value of the target. According to the method, the limitation on the number of snapshots is broken through, the robustness of parameter estimation is relatively high, the operation complexity is small, and the engineering practicability is relatively high.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to an FDA-MIMO radar monopulse distance angle joint estimation method. Background technique [0002] Due to the flexible beam scanning capability of the phased array, it can achieve high-precision estimation of the angle, but its far-field pattern is only a function of the angle. Multiple-Input Multiple-Output (MIMO) radars can flexibly provide transmit beams according to different operating modes. However, similar to traditional phased arrays, the transmit beams of MIMO radars are only related to the angle of the target. , cannot distinguish targets with the same angle but different distances. Frequency diverse array (FDA) radar is a system innovation based on phased array radar. By performing frequency modulation between the transmitting antenna elements, the pattern is not only a function of angle, but also depends on distance and Time, so it can fil...

AI Technical Summary

Problems solved by technology

However, most of these methods are based on subspace algorithms such as multiple signal classification (Multiple Signal Classification, MUSIC). Factors seriously affect the parameter estimation accuracy

At the same time, the estimation of distance information in the existing FDA-MIMO radar parameter estimation method mostly assumes that the target is located at the center moment of the range gate sampling, ignoring the mismatch loss of the range-guided vector caused by the deviation between the actual distance and the sampling time. Achieving High Parameter Estimation Accuracy

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