A Blind Signal Detection Method Based on Quantum Ant Colony with Adaptive Phase Rotation Angle

A phase rotation, angle quantum technology, applied in digital transmission systems, electrical components, error prevention and other directions, to achieve the effect of fast convergence, low error rate, and avoid premature phenomenon

Active Publication Date: 2017-04-12
NANJING UNIV OF POSTS & TELECOMM INST AT NANJING CO LTD
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AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to overcome the shortcomings of the existing blind detection technology, and propose a signal blind detection method based on the adaptive phase rotation angle quantum ant colony

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  • A Blind Signal Detection Method Based on Quantum Ant Colony with Adaptive Phase Rotation Angle
  • A Blind Signal Detection Method Based on Quantum Ant Colony with Adaptive Phase Rotation Angle
  • A Blind Signal Detection Method Based on Quantum Ant Colony with Adaptive Phase Rotation Angle

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Embodiment Construction

[0038] Below in conjunction with accompanying drawing, a kind of signal blind detection method based on adaptive phase rotation angle quantum ant colony that the present invention proposes is described in detail:

[0039] figure 1 It is a flowchart of quantum ant colony algorithm based on adaptive phase rotation angle in the present invention. Its implementation process is as follows:

[0040] When ignoring noise, the receiver equation for a discrete-time channel is defined as

[0041] x N =SΓ T (1)

[0042] In the formula, X N is the received data array, S is the transmitted signal array, Γ is the channel impulse response h jj Constituted block Toeplitz matrix; ( ) T Represents matrix transposition;

[0043] Among them, the sending signal array:

[0044]

[0045] , M is the channel order, L is the equalizer order, N is the data length; the first column of the definition matrix S is C N (k),

[0046] By analogy, column L+M+1 is C N (k-M-L). E. L+M (k)=[s(k),....

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Abstract

The invention provides a signal blind detection method based on a phase-adaptive rotation angle quantum ant colony. According to the method, the quantum computation theory and the evolutionary computation theory are fused into an ant colony algorithm, so that each ant carries a set of quantum bits representing current position information of the ant. Firstly, based on selection probability built on the basis of pheromone intensity and visibility, advance goals of the ants are selected, then the quantum bits carried by the ants are updated by means of a quantum rotation gate, and moving of the ants is finished; changing of the positions of the ants is achieved by means of a quantum not gate, and diversity of the positions is improved; two probability amplitudes of each quantum bit are taken as the current position information of the ants, and searched spaces are doubled when the number of the ants are not changed. The ant colony algorithm of the signal blind detection method can well solve the problem that an ant colony algorithm is prone to trapping in local optimum during solving and can effectively avoid the prematurity phenomenon, convergence speed is high, and the bit error rate of signal blind detection under the same signal-to-noise ratio condition is lower.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a signal blind detection method based on an adaptive phase rotation angle quantum ant colony. Background technique [0002] A.Narayanan&M.Moor first proposed the concept of quantum ant colony. Quantum Ant Colony Optimization Algorithm (QACO) is a kind of ant colony algorithm based on the principle of quantum computing. It is a brand-new combination of quantum computing and ant colony algorithm. The optimal calculation method is based on the characteristics of imitating the foraging and searching behavior of ants in the ant colony algorithm, and introduces the advantages of quantum computing. It uses quantum coding and quantum revolving door updates for the ant population, and has the advantages of small population size and no influence on algorithm performance. At the same time, it has the characteristics of strong development and exploration capabilities, good pop...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L1/00
Inventor 于舒娟张昀宋啸良
Owner NANJING UNIV OF POSTS & TELECOMM INST AT NANJING CO LTD
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