Parameter estimation method based on MUSIC and MP fusion

Abstract

The invention provides a parameter estimation method based on the fusion of multiple signal classification (MUSIC) and matching pursuit (MP), and relates to a parameter estimation method based on the fusion of the multiple signal classification (MUSIC) and the matching pursuit (MP). The method comprises the following steps of: firstly, constructing a two-dimensional matrix by using acquired channel state information (CSI) data from two dimensions of a subcarrier and an antenna; secondly, performing signal subspace and noise subspace decomposition on the two-dimensional matrix to construct a spectral function; on the basis of a spectral function, the time of flight (Time of Flight, ToF) of a signal is estimated through a one-dimensional MUSIC algorithm. And finally, substituting the estimated ToF into an MP algorithm to construct a dictionary matrix so as to estimate the angle of arrival (Angle of Arrival, AoA). According to the fusion parameter estimation method designed by the invention, the advantage of the MUSIC algorithm is utilized to guarantee the parameter estimation precision, and meanwhile, the advantage of high running speed of the MP algorithm is utilized to reduce the algorithm complexity after fusion, so that the performance index optimization of two-dimensional parameter estimation is realized.

Description

technical field [0001] The invention belongs to a parameter estimation method, and specifically relates to a parameter estimation method based on MUSIC and MP fusion in a Wi-Fi system. Background technique [0002] In recent years, people have been continuously innovating the indoor environment adaptive sensing technology based on the recognition of radio wave propagation characteristics to achieve richer perception and analysis. At present, the means used to realize environmental perception mainly include: infrared technology, ultra-wideband technology, radio frequency identification, ZigBee perception, ultrasonic technology and Wi-Fi perception technology. With the large-scale coverage of wireless local area networks, wireless terminal devices have been deployed in various work and entertainment places in human daily life, such as wireless routers, mobile phones, notebook computers, etc., using Wi-Fi signals to achieve wireless perception in indoor environments is just lik...

AI Technical Summary

Problems solved by technology

Among them, the MUSIC algorithm is widely used in parameter estimation because of its multi-signal simultaneous direction finding ability and high-resolution direction finding ability for signals in the antenna beam, but there is a problem that the spectrum peak search dimension is too large, and the time of the algorithm is complicated. too high

The MP algorithm is widely used because of its fast calculation speed, but it is difficult to guarantee the accuracy of parameter estimation.

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