Conformal array robust angle estimation method based on manifold separation under movement platform

Abstract

The invention discloses a conformal array robust angle estimation method based on manifold separation under a movement platform. The method includes the implementation steps that firstly, space-time two-dimensional signal data are obtained through an antenna array under the movement platform, and FFT processing is conducted on the time-dimension of the data; then a filter bank is designed, center angles mapped by the center frequencies of Doppler channels are made to meet the equipartition condition of manifold separation, and channel data corresponding to center angle equipartiton are obtained; a covariance matrix is obtained through the data of all the channels, eigenvalue decomposition is conducted on the covariance matrix, and a main characteristic vector matrix corresponding to a manifold matrix is obtained; finally, a sampling matrix is obtained, the real-time airspace guide vector of a conformal array is obtained based on a manifold separation technology, and robust angle estimation is achieved. By means of the method, the defects that it is difficult to conduct sampling matrix off-line measuring, and real-time array error updating cannot be achieved are overcome, robust angle estimation of a signal source under the error condition can be achieved, and the method is an effective signal processing method to be provided for the compensation of the movement platform array in the field of radar, communication and the like.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, in particular to a conformal array robust angle estimation method based on manifold separation under a moving platform. The invention can be applied to the array error correction in the radar motion platform to realize the robust angle estimation of the target. Background technique [0002] The direction of arrival (DOA) estimation of the signal source is widely used in radar and other fields. The super-resolution DOA estimation method based on subspace can obtain excellent angle estimation performance, but its high resolution is only in the ideal array manifold. Under the assumption, when there are errors in the array, the performance of the traditional subspace-based DOA estimation method will seriously degrade, or even fail. In the moving platform, due to factors such as the temperature and humidity of the environment and the jitter of the carrier, new errors will be introduce...

AI Technical Summary

Problems solved by technology

However, due to factors such as temperature and humidity in the working environment and carrier jitter, new errors will be introduced into the array at any time. The method in this paper cannot obtain the latest information of the array error at this time, resulting in a decline in the effect of the error compensation method.

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