Method for extracting fine feature of channel

A technology of subtle features and extraction methods, applied in the field of signal sorting, can solve the problems of invalid MUSIC algorithm, large amount of calculation and storage in parameter space search, and achieve the effect of small calculation and simple implementation

Inactive Publication Date: 2018-11-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this algorithm requires a large amount of calculation and storage for parameter spa

Method used

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  • Method for extracting fine feature of channel
  • Method for extracting fine feature of channel
  • Method for extracting fine feature of channel

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Experimental program
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Embodiment 1

[0071] In this embodiment, the feasibility of the channel subtle feature extraction method is verified by using simulation experiment data. The sending signal adopts QPSK modulation mode, and the data length is 100,000 points. In the simulation, the channel is a simulated Rayleigh channel, and the orders of h1, h2, and h3 are different. The simulation parameter settings are shown in Table 1:

[0072] Simulation parameter setting situation in the embodiment 1 of table 1

[0073]

[0074]

[0075] Such as image 3 shown. h1, h2, and h3 respectively correspond to the modulus of the last weight vector obtained by the 100,000-point normalized received data of the three channels in Table 1 after the iterative processing of the improved MCMA algorithm blind equalization, and h1, h2, and h3 are all 44-order equalizers Balanced results. Depend on image 3 It can be seen that there are differences in blind equalization results of signals received in different channels.

[0...

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Abstract

The invention belongs to the technical field of signal sorting, and specifically relates to a method for extracting a fine feature of a channel. A transmitted signal is subjected to the action of thechannel in a transmission process, and a received signal can implicitly characterize the fine feature of channel information. In the method provided by the invention, the transmitted signal is restored from the received signal by using a blind equalization algorithm, and a peak value is extracted from a blind equalization weight vector to serve as the fine feature of the channel for the description and differentiation of the channel. Through simulation experiments, an embodiment 1 verifies the feasibility of the method for extracting the fine feature of the channel.

Description

technical field [0001] The invention belongs to the technical field of signal sorting, and in particular relates to a method for extracting subtle features of a channel. Background technique [0002] In mobile communications, the electromagnetic path through which signals propagate is called a wireless channel. Wireless channels are closely related to the surrounding environment, and wireless channels in different environments have some differentiated characteristics. How to discover and extract signal-related features in wireless channels has great research value and is also a current research hotspot. Common wireless channel characteristic parameters include multipath delay, Doppler frequency shift, etc. At present, there are three main types of feature extraction methods for wireless channels: spectral estimation, estimation methods based on parameter subspaces, and deterministic parameter estimation. [0003] For spectrum estimation, the common method is Multiple Sign...

Claims

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Application Information

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IPC IPC(8): H04L25/02H04B17/309
CPCH04B17/309H04L25/0238H04L25/024
Inventor 魏平饶烔恺廖红舒
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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