A sage channel parameter estimation method based on eigenvalue decomposition

Abstract

The invention belongs to the technical field of wireless communication, and discloses an SAGE channel parameter estimation method based on feature value decomposition. The method comprises the following steps: obtaining channel impact response; constructing a covariance matrix of the channel impact response; performing feature value decomposition on the covariance matrix of the channel impact response; estimating a parameter vector of the channel by using an SAGE algorithm; and performing performance comparison with the general SAGE algorithm. By adoption of the SAGE channel parameter estimation method disclosed by the invention, the channel parameter can be effectively estimated, good robustness and astringency are ensured; and simulation results show that compared with the original SAGE algorithm, the channel parameter estimated by the SAGE channel parameter estimation method based on feature value decomposition is closer to a synthetic channel parameter, and the robustness and astringency of the original SAGE algorithm are improved.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a SAGE channel parameter estimation method based on eigenvalue decomposition. Background technique [0002] The quality of the channel characteristics determines the final communication performance of the communication system. Therefore, in the research, analysis and design of the wireless communication system, the transmission characteristics of the signal in the wireless environment are required to design the maximum and complete reflection of the actual transmission channel. A theoretical model of features. In order to establish an effective channel model, it is necessary to extract channel parameters that accurately describe channel characteristics from channel measurement data, so it is meaningful to study the method of channel parameter estimation based on a certain algorithm. In the field of communication, the SAGE algorithm relies on estimating the paramet...

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Problems solved by technology

[0003] To sum up, the existing problems in the existing technology are: the SAGE algorithm has a large signal attenuation and a lower signal-to-noise ratio in the measurement process of the scattering channel, which makes the performance of the general channel impulse response extraction algorithm worse, greatly reducing the Due to the amplitude resolution and time resolution of the path signal, the SAGE algorithm cannot correctly estimate the parameter values ​​of some signal components, and cannot effectively explore the entire channel distribution.

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