Feedback decision type large-dynamic self-adaption array antenna beam forming method

Abstract

The invention discloses a feedback decision type large-dynamic self-adaption array antenna beam forming method. According to the method, a transmitter transmits sign frames periodically, and a self-adaption array antenna on a receiver selects different weight vector calculating methods according to decision feedback on base band demodulation signals. The array antenna of the receiver comprises an array face, a weight value generating module, a beam forming module, a signal processing module and a sliding correlation module. The signals generated after beams are formed are demodulated by the signal processing module, and then base band signals are output; sliding correlation operation is performed on the base band signals and local pseudo-random codes, the correlation operation result controls a weight vector calculating method in the weight value generating module, working is performed in the phased array mode if the sliding correction module outputs the correlation peak, and working is performed in the anti-interference mode if the sliding correction module does not output the correlation peak. The method overcomes the self null steering problem of self-adaption array antenna expectation signals under large dynamic, is easy to achieve in engineering and can be applied to various anti-interference wireless communication transmit-receive systems.

Description

technical field [0001] The invention relates to the field of adaptive array antennas, in particular to a large dynamic adaptive array antenna beam synthesis method. technical background [0002] The adaptive array antenna generates a weighted vector through spatial adaptive filtering, and then weights and sums the received signals on the front to realize beamforming. Jamming signal. In beamforming, the basic weight vector generation method is the Frost algorithm, but this method has the problem of "self-null trapping", that is, when the power of the desired signal is large, due to the influence of various errors in the system, the desired signal will be regarded as an interference signal are suppressed, so that the array pattern forms a null at the desired signal incidence angle. Conversely, if the expected signal power is small, the Frost algorithm works fine. Although various robust adaptive filtering algorithms can be used to solve the "self-zero trap", such as diagona...

AI Technical Summary

Problems solved by technology

Although various robust adaptive filtering algorithms can be used to solve the "self-zero trap", such as diagonal loading, convex set optimization and other methods, these algorithms are difficult to implement

Images