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Phase shift keying signal blind detection method based on plural discrete full-feedback neural network

A neural network and phase shift keying technology, which is applied to the shaping network, phase modulation carrier system, baseband system components and other directions in the transmitter/receiver to achieve good results.

Inactive Publication Date: 2011-04-27
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] Technical problem: the purpose of the present invention is to provide a kind of MPSK signal blind detection method based on complex number discrete full feedback neural network (being Hopfield neural network) at the defective and deficiency of prior art, solved complex number domain optimal under signal unknown situation Solve the problem and provide an accurate signal blind detection method for the wireless communication network

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  • Phase shift keying signal blind detection method based on plural discrete full-feedback neural network
  • Phase shift keying signal blind detection method based on plural discrete full-feedback neural network
  • Phase shift keying signal blind detection method based on plural discrete full-feedback neural network

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Embodiment Construction

[0019] Before going into details, some nouns, symbols and formulas used in the system are first defined:

[0020] P: channel order

[0021] L: equalizer order

[0022] N: the data length required by the algorithm of this scheme

[0023] q: oversampling factor

[0024] M: phase number of phase shift keying signal

[0025] (·) H : Hermitian transpose

[0026] (·) T :Matrix transpose

[0027] The idea of ​​the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0028] Definition 1 When the noise is neglected, the receiving equation of the discrete-time channel is defined as follows

[0029] x N =SΓ H (1)

[0030] Among them, the sending signal array S=[s L+P (k),...,s L+P (k+N-1)] T =[s N (k),...,s N (k-P-L)] N×(L+P+1) ,s L+P (k)=[s(k),...,s(k-L-P)] T ; Γ is determined by h jj , jj=0, 1,..., the block Toeplitz matrix composed of P, [h 0 ,...,h P ] q×(P+1) is the channel im...

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Abstract

The invention discloses a phase shift keying signal blind detection method based on a plural discrete full-feedback neural network. In the method, according to a principle of decreasing energy function of the plural discrete full-feedback neural network, a Hermitian weight matrix capable of directly detecting phase shift keying signals is constructed, so that each multi-phase shift keying (MPSK) signal centralized constellation signal point is a stable equilibrium point of a Hopfield neural network; therefore, the blind detection of the MPSK signals is realized. The method can realize computing targets by only needing extremely short received data, and can be applied to statistic meaningless occasions. The search space is narrowed, the difficulty is reduced, the search time is obviously superior to that of other blind detection algorithms, and the system performance is correspondingly improved.

Description

technical field [0001] The invention relates to the field of wireless communication signal processing and the field of neural network, in particular to the blind detection of phase-shift keying signal at the receiving end of the wireless communication network. Background technique [0002] In digital communication transmission, due to delay spread and channel bandwidth limitation, the waveform of one symbol in the received signal will extend to other symbol periods, causing inter-symbol interference. This nonlinearity will not only affect the signal amplitude but also the phase value. As we all know, the MPSK (Multi-Phase Shift Keying) signal has low anti-error performance and anti-fading performance, and is very sensitive to nonlinear interference. , thus causing signal constellation distortion. Signal blind detection technology can effectively combat the fading characteristics of wireless channels and eliminate inter-symbol interference. However, traditional blind detecti...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03H04L27/22
Inventor 张志涌张昀
Owner NANJING UNIV OF POSTS & TELECOMM
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