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Compressed-sensing-based signal detection method for GSSK (generalized space shift keying) modulation communication system

A communication system, compressed sensing technology, applied in modulation carrier systems, transmission systems, digital transmission systems, etc., can solve the problems of high ML detection complexity, reduce the detection complexity of GSSK system, etc., to reduce the computational complexity, narrow the search effect of space

Inactive Publication Date: 2014-12-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, with the increase in the number of active antennas and the number of transmitting antennas in GSSK, the complexity of ML detection becomes extremely high. Using compressed sensing, the detection complexity of the GSSK system may be significantly reduced.

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  • Compressed-sensing-based signal detection method for GSSK (generalized space shift keying) modulation communication system
  • Compressed-sensing-based signal detection method for GSSK (generalized space shift keying) modulation communication system
  • Compressed-sensing-based signal detection method for GSSK (generalized space shift keying) modulation communication system

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[0043] The present invention provides a signal detection method based on compressed sensing in a GSSK modulation communication system. The method first uses compressed sensing technology to obtain a credible interval T' of an activated antenna position, and then performs ML detection in the credible interval. Since this candidate set is small (compared to the traditional ML overall search, it is still very small), the computational complexity is greatly reduced.

[0044] Signal detection methods based on compressed sensing in GSSK modulation communication systems, such as figure 1 shown, including the following steps:

[0045] Step 1: The GSSK system model is Since the transmitted signal is a real signal, the GSSK system model can be rewritten as Among them: the real part of y' is real(y), the imaginary part is imag(y), the real part of H' is real(H), the imaginary part is imag(H), the real part of z' is real(z) , the imaginary part is imag(z), then:

[0046] ...

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Abstract

The invention relates to a compressed-sensing-based signal detection method for a GSSK (generalized space shift keying) modulation communication system and belongs to the technical field of wireless communications. Compressed sensing technology is used with maximum likelihood detection; a confidence interval T' of an activated antenna position in a transmitting antenna array in the GSSK modulation communication system is obtained by the compressed sensing technology; ML (maximum likelihood) detection is performed in the confidence interval T'. Compared with overall search in ML detection, the method has the advantages that search space for ML detection is narrowed greatly so that computing complexity is reduced greatly; during the process of determining the confidence interval T' by the compressed sensing technology, detection precision is the same as that in ML detection by setting proper k constants.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a signal detection method based on Compressed Sensing (CS) in a generalized Space shift keying (GSSK) modulation communication system. Background technique [0002] 1. Compressed Sensing [0003] For an equation of the form y=θs+z, the signal s is K-item sparse, contains N elements and only K-item elements are non-zero, θ is an observation matrix of M×N size (M<N), M×1 The column vector y is the observation of the signal s and z is the noise vector. [0004] Compressed sensing technology can perfectly restore the sparse signal s with a high probability under the condition that the number of samples (observations) is much smaller than the number of samples (observations) required by traditional methods through a suitable observation matrix. The recovery signal is the signal reconstruction, which is mainly based on the norm solution of convex optimiz...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/00H04L27/00
Inventor 范世文邵晋梁李慧蕾但黎琳李少谦
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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