Quick processing method for sensor antenna array received signals

Abstract

The invention belongs to a quick processing method for a sensor antenna array received signals. The quick processing method comprises dividing subarrays, establishing signal matrixes of the subarrays, establishing autocorrelation matrixes and cross correlation matrixes, establishing signal subspace matrixes, establishing signal characteristic matrixes and inverse matrixes thereof, establishing transition matrixes, establishing rotation invariable relation matrixes, and finally obtaining incoming wave angles of different signals. A method of directly establishing the rotation invariable relation matrixes is adopted, and a method of processing and establishing an array rotation invariable relation through the multiplication and addition of the matrixes is only used, so that a sensor antennaarray quickly tests incoming wave directions of a single or a plurality of wireless transmission signals; and compared with the prior art, the method has the advantages that the processing speed is high, the accuracy of testing the incoming wave direction angles is obviously improved particularly when the signal to noise ratio is low, and the method has the characteristics of low requirements forequipment and hardware performance, quick and accurate test on target incoming wave directions, high accuracy, short flow, low operating cost, wide application range and the like.

Description

technical field [0001] The invention belongs to the field of measuring the direction of arrival of a wireless propagation signal by using a sensor antenna array, in particular a method of rapidly measuring the direction of arrival of a single or multiple wireless propagation signals by using the rotation invariance (ESPRIT) of the antenna array ( orientation) method. This method can be used to perform rapid determination (orientation) without performing multiple eigenvalue decompositions in order to obtain a rotation-invariant relationship matrix, and can obtain better results (accuracy) and reduce measurement costs. Background technique [0002] Antenna array signal processing techniques for receiving wirelessly propagated signals have been widely used. Array signal processing is to arrange a group of sensors in different positions in space according to certain rules to form a sensor array, receive through multiple channels, and use certain airspace processing or space-tim...

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Problems solved by technology

Both of these algorithms need to perform eigenvalue decomposition on the covariance matrix of the group signal vector composed of two subarray received signals, that is, to perform eigenvalue decomposition on a matrix twice the order of the covariance matrix of the subarray, so The amount of calculation is huge; moreover, in the process of constructing the rotation-invariant relationship matrix, it is necessary to decompose the eigenvalue of the matrix constructed in the calculation process again; and the latter also needs to calculate the inversion of the general matrix in the calculation, so that As a result, the amount of calculation required for the implementation of the ESPRIT algorithm is almost the same as that of the MUSIC algorithm that requires spectral peak search; while the matrix beam ESPRIT algorithm uses the autocorrelation matrix and cross-correlation matrix of the received data of the two sub-arrays to perform generalized eigendecomposition to determine The method of the direction of arrival, although this method can effectively reduce the computational load of the ESPRIT algorithm, but the measurement accuracy of the direction of arrival is difficult to meet the requirements of conventional applications

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