A method for measuring a 2D angle of arrival (AOA) of coherently distributed signals

Abstract

The invention provides a method for measuring a 2D angle of arrival (AOA) of coherently distributed signals. The method belongs to the technical field of wireless mobile communication technology. The method includes the steps of setting a stereoscopic antenna array composed of three parallel uniform linear arrays; establishing a data vector matrix and a propagator matrix of all the coherently distributed signals; eliminating aperture loss; establishing rotation matrixes and making pairing and combination of characteristic values of the rotation matrixes; and determining a central azimuth angle and a central pitch angle of the distributed signals. In the invention, the propagator is determined with received data firstly, then the three rotation matrixes are determined with the propagator, and finally the central azimuth angle and the central pitch angle of the distributed signals are comprehensively determined through automatically pairing the characteristic values of the three rotation matrixes by using the method in the invention, thereby improving the measuring precision to about 10 times higher than the precision of the prior art. Therefore, the method in the invention has characteristics of simplicity, high reliability, high performance in lowering the calculation processing capacity and complexity degree substantially, high measuring efficiency, high measuring precision degree and so on.

Description

technical field [0001] The invention belongs to the technical field of wireless mobile communication, and in particular relates to a method for measuring the two-dimensional direction of arrival (Direction of Arrival, referred to as DOA) of a coherent multipath distributed signal (referred to as a coherent distributed source) using an array antenna. test methods. Background technique [0002] The channel transmission environment of wireless mobile communication is complex and uncertain, and there are multipath fading and delay spread, resulting in inter-symbol interference (ISI), co-channel interference (CCI), multiple access interference (MAI), etc. These interferences Reduced link performance and system capacity. These types of interference can be countered or reduced by adopting technologies such as equalization, code matching filtering, RAKE reception, and channel coding and decoding. When these technologies utilize the time domain or frequency domain information of th...

AI Technical Summary

Problems solved by technology

[0007] The solution of the present invention is aimed at the defects of the background technology, such as huge amount of calculation processing and high complexity. The present invention first uses the data received by the array itself to determine the propagation operator, and then uses the obtained propagation operator to determine the three translational sub-arrays. Rotation matrix, finally, use the eigenvalues ​​of the three rotation matrices to automatically pair the two-dimensional angle parameters of multiple distribution signals through the given parameter pairing method, and comprehensively determine the center azimuth and center elevation angle of each distribution signal to achieve The determination of multiple distributed signal orientations; to greatly reduce the amount of calculation and processing complexity, effectively improve the efficiency and accuracy of the measurement, so as to achieve the purpose of the invention

Images