Low-complexity efficient channel estimation algorithm

Abstract

The invention relates to a low-complexity efficient channel estimation algorithm comprising the following steps of: (1) executing diagonalization of matrix on a signal X at a channel estimation part, solving a Hermitian matrix P and a diagonal matrix Lambda X according to the formula of X=P Lambda XP<-1>; (2) executing channel estimation by an MMSE (Minimum Mean Square Error) algorithm to get a channel estimation matrix which is described in the specification, wherein the noise variance is described in the specification, the LS (Least Squares) channel estimation is described in the specification, RH=E(HHH) is a channel correlative matrix, and H is a channel frequency domain response; and (3) executing channel estimation based on the channel estimation matrix. In the algorithm, the amount of calculation of the algorithm is further reduced without reduction of the performance of the original MMSE algorithm.

Description

technical field The present invention relates to the field of wireless communication OFDM technology, in particular to a low-complexity and high-efficiency channel estimation algorithm. Background technique With the rapid development of mobile communication technology, OFDM, as a kind of multi-carrier modulation technology, has many advantages such as strong anti-narrowband interference, strong frequency selective fading ability and high frequency band utilization because it satisfies the mutual orthogonality of each subcarrier. Therefore, it has been paid more and more attention by scholars and has become a hot spot of people's research. It is widely used in many fields such as military affairs and communication, and is considered to be one of the very important key technologies in the fourth generation mobile communication. When OFDM technology is applied to wireless communication, channel estimation is a key link. The system can use differential modulation and detection...

AI Technical Summary

Problems solved by technology

According to the improvement of MMSE estimation by Edfors et al. in the article "OFDM Channel Estimation by Singual Value Decomposition" using the SVD method, the SVD algorithm does greatly reduce the computational complexity. Coming soon (XX H ) -1 Using its expected value E(XX H ) -1 To replace and replace those smaller singular values ​​with 0, this processing will inevitably affect the performance of the estimate