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Frequency selectivity MIMO (multiple input multiple output) system space-time blind equalizer method based on MNM (modified Newton method)

A modified Newton method and frequency-selective technology, which is applied in baseband system components, shaping networks in transmitters/receivers, and preventing/detecting errors through diversity reception, can solve the problems of low equalization accuracy, large calculation load, Multiple sample sizes etc.

Inactive Publication Date: 2013-11-20
XIDIAN UNIV
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Problems solved by technology

[0005] Aiming at the shortcomings of existing equalization methods applied to MIMO systems, that is, the defects of requiring more samples, large amount of calculation and low equalization accuracy, the present invention proposes a new frequency selectivity based on Modified Newton Method (MNM) Space-Time Blind Equalizer Method for MIMO Systems

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  • Frequency selectivity MIMO (multiple input multiple output) system space-time blind equalizer method based on MNM (modified Newton method)
  • Frequency selectivity MIMO (multiple input multiple output) system space-time blind equalizer method based on MNM (modified Newton method)
  • Frequency selectivity MIMO (multiple input multiple output) system space-time blind equalizer method based on MNM (modified Newton method)

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[0040] The implementation process of the method of the present invention will be described below with reference to the accompanying drawings.

[0041] according to figure 2 , the MNM+MMA+SDD method of the present invention is as follows:

[0042] 1. Combining the SDD method and the MMA method to establish a cost function.

[0043] Considering y(t) as a random process, the cost function is minimized, namely

[0044]

[0045] Combining SDD method and MMA (MMA+SDD), define

[0046] g ( y ( t ) ) = Σ n = 1 4 Z 2 ρ n exp [ - 1 2 σ 2 ...

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Abstract

The invention discloses a frequency selectivity MIMO (multiple input multiple output) system space-time blind equalizer method based on a MNM (modified Newton method). The method comprises the following steps that firstly, a multimode method and a soft decision guide method are combined for building a cost function; then, a batch processing mode is adopted, the training sequence length is selected, and the initial value of the blind equalizer is estimated from the known emitted data and the corresponding observing data by a least square method; a newly provided MNM is utilized for calculating the optimal equalizer from observing samples; and finally, the equalizer is utilized for evenly receiving signals, the interference among signals and the interference among codes are eliminated, and resources signals are recovered. The method overcomes the defects that when the exiting MNM is applied to a MIMO system, the calculation quantity is great, and the equalization precision of the existing blind equalization algorithm is low. Compared with the exiting method, the method has the advantages that MNM, MMA and SDD only need little training sample data, and the equalizer can be enabled to be correctly converged to the optimum MMSE (minimum mean square error) equalizer.

Description

technical field [0001] The present invention belongs to the technical field of communication countermeasures, and specifically relates to a newly proposed modified Newton method (modified newton method, hereinafter referred to as MNM) using quadrature amplitude modulation (hereinafter referred to as QAM) signal by space division multiple The frequency-selective multiple-input multiple-output (multiple-transmit multiple-receive, hereinafter referred to as MIMO) system caused by space-division multiple accesses (hereinafter referred to as SDMA) is a space-time blind equalizer method, which is used to equalize the received signal and eliminate the gap between signals. Interference and intersymbol interference, recover the source signal. Background technique [0002] MIMO communication system can significantly increase data transmission efficiency and system capacity, and effectively suppress the impact of channel fading. Compared with single-input single-output (SISO) systems,...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03H04L1/06
Inventor 冯大政李进向平叶冯大萨杨振伟赵海霞
Owner XIDIAN UNIV
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