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Sparse underwater acoustic channel estimation method based on proportional normalization minimum mean square error

A minimum mean square error, underwater acoustic channel technology, applied in channel estimation, baseband system, baseband system components, etc., can solve the problem of difficult application of compressed sensing algorithm, and achieve the effect of reducing redundant channel tap calculation and high precision

Active Publication Date: 2020-09-25
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Considering that the actual underwater acoustic channel impulse response function is not a sparse signal in the strict sense, the current compressive sensing algorithm is difficult to apply directly

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  • Sparse underwater acoustic channel estimation method based on proportional normalization minimum mean square error
  • Sparse underwater acoustic channel estimation method based on proportional normalization minimum mean square error
  • Sparse underwater acoustic channel estimation method based on proportional normalization minimum mean square error

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Embodiment Construction

[0028] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0029] The present invention will be further described now in conjunction with accompanying drawing. refer to figure 1 , set the length of the sparse channel impulse response function to L=100, cluster sparseness κ=1, block length d=5, generate a random Gaussian signal with 3000 points according to the standard normal distribution, and set the algorithm parameters β=10, μ=0.4 , α=-0.5, δ=10 -5 , γ=2×10 -3 ,

[0030] The embodiment steps are:

[0031] Step 1: Let the parameters L, K and d be the length of the underwater acoustic channel impulse response, the number of channel blocks and the length of the channel blocks respectively, and the relationship between them is expressed as L=Kd; set the iteration step size to μ, Cluster sparse constraint parameters γ, α;

[0032] Step 2: Set the sparse smoothness adjustment parameter β=10~12, adjust the factor 00 = ...

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Abstract

The invention relates to a sparse underwater acoustic channel estimation method based on proportional normalization minimum mean square error, which is used for estimating a time domain cluster sparseunderwater acoustic channel impulse response function. The method comprises the steps of firstly, performing cluster sparse modeling on a time-varying underwater acoustic channel to obtain an underwater acoustic channel structured sparse expression framework; on the basis, adopting a block-by-block training mode, obtaining a time domain sparse underwater acoustic channel impulse response functionthrough iterative optimization based on a proportional normalized minimum mean square error algorithm; and obtaining estimated time domain underwater acoustic channel information. The method is suitable for time-varying underwater acoustic channel estimation, underwater acoustic communication and the like. The method has the advantages that based on cluster sparse norm constraints of the underwater acoustic channel, redundant channel tap calculation is effectively reduced, so that the underwater acoustic channel estimation result generated by the method has higher precision.

Description

technical field [0001] The invention belongs to the fields of underwater acoustic communication, underwater acoustic signal processing, etc., and relates to a sparse underwater acoustic channel estimation method based on proportional normalized minimum mean square error. The estimation method will improve the estimation performance of time-varying underwater acoustic channels. Background technique [0002] The problems of underwater acoustic channel estimation and underwater acoustic communication can all be attributed to the estimation optimization problem of impulse response function, which is used to sparsely express and estimate the time-varying underwater acoustic channel based on the training sequence and the received signal. At present, the estimation methods of underwater acoustic channel include finite impulse response framework and block-by-block estimation framework in time domain. For details on the algorithm of the finite impulse response framework, please refer...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02H04B13/02
CPCH04L25/0202H04L25/024H04L25/0254H04B13/02Y02D30/70
Inventor 伍飞云田天吴梦行杨坤德
Owner NORTHWESTERN POLYTECHNICAL UNIV