Pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing

A technology of compressed sensing and channel estimation, applied in channel estimation, pilot signal allocation, transmission path sub-channel allocation, etc., can solve problems such as no further pilot optimization method is given, and achieve the effect of improving performance

Inactive Publication Date: 2017-02-22
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

At the same time, for the traditional orthogonal placement of pilots in OFDM, the superimposed pilot placement method has been proposed in the literature, which can effectively reduce the pilot overhead, but no further pilot optimization method is given, so we The specific pilot optimization method is studied and applied to channel estimation, and the pilot overhead is further reduced on the basis of improving channel estimation performance

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  • Pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing
  • Pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing
  • Pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing

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[0033] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0034] The present invention contains two main technical problems, one is to transform the channel estimation problem into a structured compressed sensing problem, thereby modeling the pilot sequence optimization problem as a measurement matrix optimization problem in structured compressed sensing; the other is to propose a pilot optimization Algorithm to obtain the optimal pilot matrix. 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 structured compressed sensing will be illustrated through simulation.

[0035] (1) Acquisition of pilot optimization criteria (converting the channel estimation problem into a structured compressed sensing problem)

[0036] In a massive MIMO-OFDM system, it is assumed that there are M ...

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Abstract

The invention discloses a pilot optimization method for large-scale MIMO channel estimation based on structural compressed sensing. The method comprises the steps of establishing a channel estimation model for a large-scale MIMO-OFDM (Multiple-Input-Multiple-Output-Orthogonal Frequency Division Multiplexing) system when pilots are placed in an overlapping mode; simplifying the channel estimation model for the large-scale MIMO-OFDM system, thereby enabling the channel estimation model to correspond to a structural compressed sensing model; and obtaining an optimum pilot matrix through utilization of a pilot optimization algorithm. Through adoption of the optimum pilot matrix, according to the channel estimation of the large-scale MIMO system based on structural compressed sensing, the mean square errors MSEs of the channel estimation are clearly reduced, and the channel estimation performance is improved.

Description

technical field [0001] The invention relates to the technical field of pilot-aided channel estimation and pilot design in a communication system, in particular to a pilot optimization method for massive MIMO channel estimation based on structured compressed sensing. Background technique [0002] As the key technology of future 5G wireless communication, massive MIMO (Multiple-Input-Multiple-Output) system is to configure dozens or even hundreds of antennas in the coverage area of ​​the base station, which can greatly improve wireless communication System spectrum utilization and power utilization. In addition, OFDM (Orthogonal Frequency Division Multiplexing) technology has been widely used because it can effectively resist frequency selective fading and has strong anti-interference ability. Therefore, the combination of the two can greatly improve the effectiveness and reliability of the wireless communication system. In a large-scale MIMO-OFDM system, it is very importan...

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Application Information

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IPC IPC(8): H04B7/0413H04L5/00H04L25/02
CPCH04L5/0048H04B7/0413H04L25/0202H04L25/0256
Inventor 何雪云赵天
Owner NANJING UNIV OF POSTS & TELECOMM
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