MIMO-OFDM system channel estimation method based on compressed sensing

A MIMO-OFDM, compressed sensing technology, applied in baseband system components, multi-frequency code systems, etc., can solve problems such as high complexity, difficulty in completely eliminating multipath fading channel inter-symbol interference, and reduce pilot overhead , reduce the number of observed samples, and estimate the effect of improving results

Active Publication Date: 2014-09-17
SOUTHEAST UNIV
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Problems solved by technology

With the development of wireless communication, in order to meet people's increasing demand for high-speed services, the system bandwidth continues to increase, and the frequency selectivity of the cha

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  • MIMO-OFDM system channel estimation method based on compressed sensing
  • MIMO-OFDM system channel estimation method based on compressed sensing
  • MIMO-OFDM system channel estimation method based on compressed sensing

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Embodiment 1

[0035] 1. System model

[0036] This scheme considers MIMO-OFDM system. figure 1 It is a schematic diagram of antenna configuration at the receiving end, it is not general, and a two-dimensional antenna uniform array is used, in which there are N in the horizontal direction h Antennas, N in the vertical direction v Antennas, the distance between adjacent antennas is d. The time-domain multipath channel response matrix is

[0037] Q ( τ ) = Σ l = 0 L - 1 β l a ( θ l ) a T ( φ l ) δ ( τ - ...

Embodiment 2

[0112] According to the compressive sensing theory, formula (13) and formula (20) can be obtained, which can be solved by using optimization algorithm. The present embodiment provides OMP algorithm to solve formula (13) and formula (20), specifically:

[0113] a. Initialize residual r v , h ( 0 ) = H ~ v , h = [ H ~ v , h , 0 , H ~ v , h ...

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Abstract

The invention provides an MIMO-OFDM system channel estimation method based on compressed sensing. The MIMO-OFDM system channel estimation method based on compressed sensing is mainly applied to channel estimation when a receiving terminal is provided with a two-dimensional antenna array. According to the MIMO-OFDM system channel estimation method based on compressed sensing, the time delay, incidence angle and gain of each path of a space channel are estimated in sequence, and channel estimation accuracy can be improved effectively. The MIMO-OFDM system channel estimation method based on compressed sensing comprises the following steps that 1, an initially-estimated value of a channel frequency domain response vector of each pilot frequency sub-carrier is obtained according to the least square criterion; 2, by means of the sparsity of the channel frequency domain response vectors in a time delay domain, the time delay of each path of the channel and an estimated value of a channel time domain response vector of each path of the channel are estimated on the basis of the compressed sensing theory; 3, by means of the sparsity of the channel time domain response vectors in a two-dimensional angle domain, the incidence angle of each path of the channel is estimated on the basis of the compressed sensing theory; 4, the gain coefficient of each path of the channel is estimated according to the least square criterion; 5, estimated values of channel frequency domain responses of all the sub-carriers and antennas are obtained.

Description

technical field [0001] The invention relates to a MIMO-OFDM wireless communication system equipped with a two-dimensional antenna array at the receiving end, in particular to the channel estimation problem of the MIMO-OFDM system based on compressed sensing theory. Background technique [0002] Multiple-input multiple-output (MIMO) technology configures multiple antennas at the transmitting end and the receiving end. Through the combination of multiplexing technology or diversity technology, it makes full use of the multipath characteristics of the scattering channel to transmit multiple independent and parallel data in space. Stream, without increasing the system bandwidth, doubles the wireless communication system capacity and link reliability, and increases the system transmission rate. Therefore, MIMO technology has received widespread attention, and is considered to be a major breakthrough in modern wireless communication and one of the key technologies that must be ado...

Claims

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Application Information

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IPC IPC(8): H04L25/02H04L27/26
Inventor 高西奇潘云强孟鑫金石
Owner SOUTHEAST UNIV
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