Simplified zero-forcing equalization filter calculating method

Abstract

The related two short-cut calculation methods for ZF-BLE in TD-SCDMA system comprise: with the first method, calculating simplified system matrix B and the correlation matrix BHB, then the inverse matrix as (BHB)-1 to take MAI balance directly to data MF for the estimated data d; with the second method, using simplified matrix B to obtain are and its inverse are-1, and applying partitioned matrix a, b, c and d for ISI and MAI balance to the data MF, adding to obtain final d.

Description

technical field [0001] The invention relates to a simplified calculation method of a zero-forcing equalization filter (ZF-BLE) used in two communication receivers, in particular to two improved ZF-BLE fast calculation methods in a TD-SCDMA receiver or other communication receivers. Background technique [0002] In a communication system, the receiver needs to filter the received signal, filter out noise interference, and recover the transmitted data. A zero-forcing equalization filter (ZF-BLE) is an alternative. The TD-SCDMA system uses ZF-BLE. In order to realize the ZF-BLE process, the receiver has undergone the following processing: [0003] Separating the data part and the training sequence part of the received signal, and selecting the training sequence part for multi-user joint channel estimation. [0004] Using the joint channel response of multiple users, the system matrix is ​​constructed. The system matrix reflects the process experienced by the multi-user sourc...

AI Technical Summary

Problems solved by technology

[0013] Due to the existence of wireless communication channel noise and interference, the channel response estimation contains errors, resulting in distortion of the system matrix A

If the recursive method is used to find the inversion, the signal-to-noise ratio of the signal processing of the subsequent signal will be further deteriorated, and the bit error rate will increase.

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