Pilot frequency distribution method in distributed compressive sensing (DCS) channel estimation

A technique of compressed sensing and channel estimation, applied in pilot signal allocation, transmission path sub-channel allocation, channel estimation, etc.

Active Publication Date: 2015-06-10
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
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Problems solved by technology

However, there is no research on this issue in any literature at present. This invention will propose a pilot allocation method for the

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  • Pilot frequency distribution method in distributed compressive sensing (DCS) channel estimation
  • Pilot frequency distribution method in distributed compressive sensing (DCS) channel estimation
  • Pilot frequency distribution method in distributed compressive sensing (DCS) channel estimation

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Embodiment Construction

[0039] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0040] The present invention contains two main technical problems, one is the acquisition of pilot position optimization criteria, so that the pilot position optimization problem is modeled as a combinatorial optimization problem; the other is to propose a genetic algorithm to solve the combinatorial optimization problem, thereby obtaining the optimal An optimal set of pilot locations. The implementation of these two parts will be introduced below, and the beneficial effect of this pilot allocation method on improving the performance of channel estimation based on distributed compressed sensing will be illustrated through simulation.

[0041] (1) Acquisition of pilot optimization criteria

[0042]We consider a N T transmit antennas and N R A point-to-point MIMO-OFDM system with one receiving antenna, its block diagram is as follows figure 1 shown.

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Abstract

The invention discloses a pilot frequency distribution method in DCS channel estimation. The method comprises modeling a pilot frequency position optimization problem into a combinational optimization problem with the minimum channel estimation error serving as the starting point; solving the combinational optimization problem through a raised genetic algorithm to obtain an optimal pilot frequency position set enabling the channel estimation error to be the smallest. By the aid of the method, compared with traditional least square channel estimation, lower estimation errors and higher frequency spectrum effectiveness can be obtained on the basis of DCS.

Description

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Claims

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Application Information

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Owner NANJING UNIV OF POSTS & TELECOMM
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