Sparse Underwater Acoustic Channel Estimation Method Based on Proportional Normalized 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: 2022-06-07
NORTHWESTERN POLYTECHNICAL UNIV
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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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[0028] Now in conjunction with embodiments, accompanying drawings to further describe the present invention:
[0029] The present invention is further described in conjunction with the accompanying drawings. Reference Figure 1 , set the sparse channel impulse response function length to L=100, cluster sparse κ=1, block length d=5, according to the standard normal distribution method to generate a random Gaussian signal of 3000 points, the algorithm parameter settings β=10, μ=0.4, α=-0.5, δ=10 -5 ，γ＝2×10 -3 ，
[0030] The example 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 chunks and the length of the channel chunks, respectively, and the relationship between them is expressed as L=Kd; Set the iteration step to μ, cluster sparse constraint parameter γ, α;
[0032] Step 2: Set the sparse smoothness adjustment parameters β =10~12, adjust the factor 00 ＝0；
[0033]Step 3: Given the i...
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The invention relates to a sparse underwater acoustic channel estimation method based on the proportional normalized minimum mean square error, which is used for estimating the impulse response function of the time-domain cluster sparse underwater acoustic channel. Firstly, cluster sparse modeling is performed on the time-varying underwater acoustic channel, in order to obtain a structured sparse expression framework of the underwater acoustic channel, on this basis. Using the block-by-block training mode, an iterative optimization based on proportional normalized minimum mean square error algorithm is designed to obtain the time-domain sparse underwater acoustic channel impulse response function, and the estimated time-domain underwater acoustic channel information is obtained. The invention is applicable to time-varying underwater acoustic channel estimation, underwater acoustic communication and the like. The beneficial effect is embodied in that the present invention effectively reduces redundant channel tap calculations based on the cluster sparse norm constraint of the underwater acoustic channel, so that the underwater acoustic channel estimation result generated by the present invention has higher accuracy.
Description
Technical field [0001] The present invention belongs to the field of underwater acoustic communication and underwater acoustic signal processing, relates to a sparse hydroacoustic channel estimation method based on proportional normalization of the minimum mean square error, the estimation method will improve the estimation performance of the time-varying underwater acoustic channel. Background [0002] Problems such as underwater acoustic channel estimation and underwater acoustic communication can be attributed to the estimation optimization problem of the impulse response function, based on the training sequence and the received signal to estimate the sparse expression of the time-varying underwater acoustic channel. Currently, estimation methods for underwater acoustic channels include finite impulse response frameworks and block-by-block estimation frameworks for the time domain. For details of the finite impulse response framework, see New sparse adaptive algorithms based o...
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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