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A Millimeter Wave Channel Estimation Method Based on Angular Grid Optimization and Norm Constraint

A channel estimation and millimeter wave technology, which is applied in channel estimation, baseband system, digital transmission system, etc., can solve the problems of large amount of calculation, high complexity, and reduction of algorithm calculation complexity, etc., and achieve good estimation accuracy and good achievability performance and low computational complexity

Active Publication Date: 2022-04-01
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a millimeter-wave channel based on angle grid optimization and norm constraint for the existing channel estimation method based on OMP algorithm, which has a large amount of calculation, high complexity and cannot constrain the sparsity of channel parameters. Estimation method, which has better estimation accuracy and effectively reduces the computational complexity of the algorithm

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  • A Millimeter Wave Channel Estimation Method Based on Angular Grid Optimization and Norm Constraint
  • A Millimeter Wave Channel Estimation Method Based on Angular Grid Optimization and Norm Constraint
  • A Millimeter Wave Channel Estimation Method Based on Angular Grid Optimization and Norm Constraint

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Embodiment Construction

[0068] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific examples.

[0069] like figure 1 As shown, define the number of antennas N at the transmitter and receiver T =N R = 32; pilot beam RF chain N RF =8; the number of channel paths L=5; the distance between adjacent antenna elements λ is the signal wavelength; baseband precoding matrix F BB / W BB is the unit matrix; RF beamforming matrix F RF / W RF Set as DFT matrix; angle grid number G=32.

[0070] The concrete steps of this method are:

[0071] Step 1. Estimating AoA and AoD based on the received signal and the beamforming matrix, optimizing the angle grid:

[0072] 1.1. Estimation of AoA and AoD: Known received signal matrix where A R and A T Respectively corresponding to the array response matrix of AoA and AoD, remove the subscript, then: A(n) represents the nth ...

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Abstract

The invention discloses a millimeter wave channel estimation method based on angle grid optimization and norm constraint. In existing channel estimation methods based on compressed sensing, the channel estimation problem is transformed into a sparse signal reconstruction problem by quantizing the angle domain parameters into an angle grid, and the classic orthogonal matching pursuit algorithm is used to solve it. This method cannot constrain the sparsity of the channel, and the computational complexity of the algorithm is high. The method of the present invention first optimizes the divided angle grid according to the known received signal and beamforming matrix, and then introduces l 2 Norm to constrain the sparsity of channel parameters, so as to obtain the optimization function of channel estimation. At this time, the channel estimation problem is transformed into a convex optimization problem, and the global optimal solution is obtained directly by solving the minimum value, and then the channel matrix is ​​recovered. The method of the invention can optimize the angle grid and constrain the sparsity of the millimeter wave channel, effectively reduce the computational complexity of the algorithm, and has better realizability.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and is specifically aimed at a single-user millimeter wave large-scale multiple-input multiple-output (MIMO) system using hybrid beamforming, and relates to a method for optimizing an angle grid and passing l 2 A channel estimation method that adds sparsity constraints to channel parameters. Background technique [0002] In the millimeter wave communication system, the quality of the communication largely depends on the wireless channel. In order to transmit signals better, obtaining channel state information (Channel State Information, CSI) is essential for fully utilizing the performance of the millimeter wave massive MIMO system. very important. Therefore, channel estimation has become an indispensable link in communication system design. Since the number of pilots required for traditional channel estimation is proportional to the number of antennas at the transmitting end, an...

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Application Information

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IPC IPC(8): H04L25/02
CPCH04B7/0413H04B7/043H04B7/0617H04B7/086H04B7/0456H04L25/024H04L25/0242
Inventor 胡安中黄秋芳
Owner HANGZHOU DIANZI UNIV
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