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Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals

A frequency-hopping signal and blind source separation technology, applied in multi-frequency code systems, space transmit diversity, diversity/multi-antenna systems, etc., can solve problems such as blind estimation of multiple frequency-hopping signals

Inactive Publication Date: 2013-04-17
XIDIAN UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The present invention provides a method for blind source separation of synchronous orthogonal frequency hopping signals based on clustering, which aims to solve the problem that the existing blind separation algorithm of frequency hopping signals requires that the number of observed signals be greater than or equal to the number of source signals, but in the actual communication process , due to the limitation of the number of receiving antennas, when the number of frequency hopping source signals is large, the number of observed signals is often smaller than the number of source signals, so the existing algorithm cannot perform multiple hops when the number of receiving antennas is small. The problem of blind estimation of frequency signals

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  • Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals
  • Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals
  • Clustering-based blind source separation method for synchronous orthogonal frequency hopping signals

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Embodiment 1

[0150] The hopping characteristics and Vandermont characteristics of the frequency-hopping signal mixing matrix when receiving with a uniform linear array, refer to figure 1 , the steps of the inventive method are as follows:

[0151] Step 1), using a linear array array antenna containing M array elements to receive signals from a plurality of synchronous orthogonal frequency hopping stations, and sampling the received M signals, the sampling frequency is f s , to get M discrete data, namely

[0152] x m % ( k ) = x m ( k · T s ) m = 1,2 , L , M - - - ( 13 )

[0153] where k represent...

Embodiment 2

[0197] In order to verify the accuracy of the frequency hopping signal estimated by the present invention, the underdetermined blind separation algorithm of the frequency hopping signal proposed by the present invention is simulated. Assume that there are 4 frequency hopping source signals, which are received by a uniform line array with 2 array elements, frequency hopping frequency set [1:0.5:8]MHz, sampling frequency fs=20MHz, BPSK modulation mode, symbol rate respectively 20kbps, 40kbps, 25kbps, 50kbps, the incident angles are -20°, 60°, 80°, -40° respectively, due to the limitation of computer memory, each simulation processes 3 frequency hopping points, the number of FFT points is 4096, and the interval of each sliding window is 256 samples point.

[0198] Figure 2-5 The frequency-hopping signal estimated by the present invention and the time-domain waveform diagram of the source signal are given respectively. It can be seen from the figure that the time-domain wavefor...

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Abstract

The invention discloses a clustering-based blind source separation method for synchronous orthogonal frequency hopping signals. The method comprises the following steps of: acquiring M sampled paths of discrete time-domain mixed signals; obtaining M time-frequency domain matrixes of the mixed signals; preprocessing the time-frequency domain matrixes of the frequency hopping mixed signals; estimating frequency hopping moments, normalized mixed matrix column vectors and frequency hopping frequency; estimating time-frequency domain frequency hopping source signals by utilizing the estimated normalized mixed matrix column vectors; splicing the time-frequency domain frequency hopping source signals between different frequency hopping points; and recovering time-domain source signals according to time-frequency domain estimate values of the source signals. According to the method, the frequency hopping source signals are estimated only according to the received mixed signals of a plurality of frequency hopping signals under the condition of unknown channel information, and the frequency hopping signals can be subjected to blind estimation under the condition that the number of receiving antennae is smaller than that of the source signals; short-time Fourier transform is utilized, so that the method is low in computation amount; and the frequency hopping signals are subjected to blind separation, and meanwhile, a part of parameters can also be estimated, so that the method is high in practicability.

Description

technical field [0001] The invention belongs to the technical field of communication and signal processing, in particular to a method for blind source separation of synchronous orthogonal frequency hopping signals based on clustering. Background technique [0002] Blind source separation refers to the process of estimating the source signal only from the observed mixed signal without knowing any channel information. When the number of observed signals is greater than the number of source signals, it is called overdetermined blind separation; when the number of observed signals is equal to the number of source signals, it is called well-posed blind separation; when the number of observed signals is smaller than the number of source signals , becomes an underdetermined blind separation. [0003] Blind source separation technology has been more and more widely used in the field of communication signal processing. At present, the research on blind source separation technology i...

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Application Information

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IPC IPC(8): H04B7/08H04B1/713H04L27/26
Inventor 付卫红刘乃安黑永强李晓辉韦娟
Owner XIDIAN UNIV
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