An Adaptive Antenna Beamforming Null Widening Method Based on Covariance Matrix Expansion

Abstract

The invention discloses an adaptive antenna wave beam forming nulling widening method based on covariance matrix extension. The directions of interference signals reaching array antennas are estimated in advance; then a covariance expansive matrix is obtained and used for replacing a sampling covariance matrix; a nulling widening region is determined, and a steering vector correlation matrix in the widening region is established; linear constraint is formed in the rough direction of interference through feature vectors corresponding to large feature values; the minimum variance of the linear constraint is obtained, and an optimal weighting vector is obtained; data received by an antenna array are weighted through the optimal weighting vector, and output data of the antenna array are obtained. Virtual array elements are established, wider and deeper nulling is achieved under the condition that the number of the array elements is definite, the purpose of restraining interference of position disturbance is achieved, and the anti-interference capacity of an adaptive antenna wave beam forming device is enhanced.

Description

technical field [0001] The invention belongs to the control field of adaptive array antennas, in particular to an adaptive antenna beam forming null-sag widening method based on covariance matrix expansion. Background technique [0002] Adaptive antenna beamforming technology weights the received data of the array antenna, adaptively forms a constant gain in the direction of the desired signal, and forms a null in the interference direction. It is widely used in radar, sonar, mobile communication and other fields. When the interference is fast moving or the vibration of the carrier platform, or the adaptive weight update speed is relatively slow, the weight vector training data may not match the application data, and the interference may not be effectively suppressed, which will cause adaptive beamforming The performance of the device is significantly reduced. [0003] Aiming at the problem of the mismatch between the weight vector training data and the application data cau...

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Problems solved by technology

Alon Amar proposed a zero trap widening method based on linear constraints (LCSS) (reference: A linearly constrained minimum variance beamformer with a pre-specified suppression level over a pre-defined broadnull sector[J], Signal Processing, 2015, 109(1 ):165-171), can deepen the null while widening the null, its array gain is higher than the method proposed by Mailloux, but this method needs to consume more array degrees of freedom

[0004] In practical applications, due to factors such as size and cost, the number of array antennas is usually very limited. At this time, the LCSS null widening method proposed by AlonAmar can achieve a null width and depth that are limited by the number of array elements. and can not achieve the ideal situation

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