Efficient robust self-adapting beam forming method of broadband

Abstract

The invention provides an efficient robust self-adapting beam forming method of broadband. The method is applied to the field of wireless communication and comprises steps as follows: performing fast fourier transform (FFT) to received data of an array to obtain the received data on different frequency points and a covariance matrix of the received data of each frequency point; choosing a central frequency point as a reference frequency point; using a propagator thought to respectively performing matrix partitioning on the covariance matrix of each frequency point and the covariance matrix of the central frequency point so as to obtain a propagator of each frequency point and the propagator of the central frequency point; constructing a focusing transformation matrix, focusing the propagators of different frequency points onto the same reference frequency point to obtain the final propagator estimation and noise subspace; and combining with a feature space method to configure a broadband beam forming algorithm weight vector to realize robust self-adapting beam forming of the broadband. In comparison with a traditional coherent signal subspace method, the method does not need any singular value or feature value decomposition, does not need a diagonal loading technique, and can reflect a good performance with respect to an environment having low snapshots and strong desired signals. Particularly, the method has stronger robustness and reduces the complexity under a condition that the desired signal estimation has a certain error.

Description

technical field [0001] The invention relates to the technical fields of radar, sonar and wireless communication, in particular to an efficient broadband robust adaptive beamforming method. Background technique [0002] Digital beamforming (DBF) uses digital signal processing technology to weight the signals received by the antenna array, and adjusts the weights of each array element so that the signals can be received effectively. This is because the weights of each array element form the array weight vector, and the weight vector directly determines the direction diagram of the adaptive array, that is, determines the receiving effect of useful signals. Effective reception of useful signals includes two aspects: one is to align the main lobe of the array pattern (the direction of the maximum gain of the array antenna) with the direction of the desired signal; the other is to align the zero point of the pattern with the interference signal for effective suppression. When the...

AI Technical Summary

Problems solved by technology

This type of beamformer needs to know the orientation information of the desired signal in advance. If the direction of arrival of the desired signal is not estimated accurately, the main beam will point to a wrong direction. At this time, the optimal weight will suppress the desired signal as interference , thus forming a null in the true incoming wave direction, so the performance is poor in the environment with high signal-to-noise ratio

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