Dense multipath signal angle estimation method based on impulse response compression sensing

Abstract

The invention discloses a dense multipath signal angle estimation method based on impulse response compression sensing. A pseudo random sequence with the length of N as a baseband detection signal, aspatial channel impulse response model is determined, receiving array antennas that have the M same array elements and are arranged uniformly and linearly are generated, and a guide vector of the antenna array under a first path is determined; for receiving signals of from a first antenna element to an M antenna element, sliding correlation is carried out on the receiving signasl and a standard local pseudo-random sequence to obtain an observation impulse response, discretization processing is carried out to obtain an observation impulse response matrix, impulse response covariance matrixes ofeffective paths from the first one to the L one of the spatial channel are calculated respectively, a redundant dictionary for sparse reconstruction is constructed, and sparse vectors are calculatedto form an angular spatial spectrum, wherein the angle corresponding to the large value is the coherent path direct-of-arrival angle in the l-th path. Therefore, the direct-of-arrival angle estimationof lots of multi-path signals is realized; the estimation accuracy and the angular resolution are high; and the coherent paths are distinguished.

Description

technical field [0001] The invention belongs to the technical field of ranging and positioning in wireless communication systems, and in particular relates to a dense multipath signal angle estimation method based on impulse response compressed sensing. Background technique [0002] With the development of wireless communication technology, MIMO technology has become one of the main key technologies of current communication. As the communication medium and the basis of MIMO system optimization, the research and accurate description of the channel has become a current research hotspot. Accurate channel models are inseparable from effective spatial channel parameters, especially in complex scenarios such as dense multipath. At the same time, one of the preconditions for most of the existing high-precision angle-of-arrival estimation algorithms to achieve their super-resolution performance is that the number of multipaths is known. [0003] The existing angle of arrival estim...

AI Technical Summary

Problems solved by technology

[0003] The existing angle of arrival estimation algorithm has the following shortcomings: 1. The algorithm relies on the accurate information of the number of multipaths. If the number of multipaths is inaccurate, it will lead to false alarms or missing alarms during estimation, resulting in estimation errors ; 2. The algorithm has poor processing ability for the coherent path, because the coherent path causes a loss to the rank of the covariance matrix of the received signal, so the traditional estimation algorithm cannot correctly estimate the angle of arrival of the coherent path; 3. The receiving array Due to the limitation of the number of antenna apertures, the trad

Images