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Low-complexity underwater acoustic sparse time-varying channel estimation method based on compressed sensing

A low-complexity, time-varying channel technology, applied in baseband systems, baseband system components, digital transmission systems, etc., can solve problems such as unfavorable practical applications and high computational complexity, avoiding repeated calculations and reducing computational complexity. Effect

Active Publication Date: 2018-11-20
HARBIN ENG UNIV
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Problems solved by technology

However, when using this type of algorithm, for high-precision channel estimation, it is necessary to construct a large-dimensional obse

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  • Low-complexity underwater acoustic sparse time-varying channel estimation method based on compressed sensing
  • Low-complexity underwater acoustic sparse time-varying channel estimation method based on compressed sensing
  • Low-complexity underwater acoustic sparse time-varying channel estimation method based on compressed sensing

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Embodiment Construction

[0021] The method of the present invention mainly includes the following two parts: pre-calculating the characteristic Hermitian inner product matrix of the candidate path, and an iteration-based sparse time-varying channel estimation method. Based on the compressed sensing model, the Hermitian inner product matrix of the alternative path characteristics is pre-calculated to avoid the repeated calculation of the matrix inner product in the traditional OMP iteration, and then the joint estimation of the delay and Doppler factor is performed in an iterative manner to ensure the channel estimation performance While reducing the complexity of the traditional OMP algorithm.

[0022] The following examples describe the present invention in more detail.

[0023] According to the characteristics of the underwater acoustic channel, the present invention deduces the formula on the basis of the compressed sensing OMP algorithm, and avoids the repeated calculation of the inner product mat...

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Abstract

The invention provides a low-complexity underwater acoustic sparse time-varying channel estimation method based on compressed sensing. An alternative route feature Hermitian inner product matrix is pre-computed; and then joint estimation of time delay and a Doppler factor is carried out in an iterating mode. According to the method disclosed by the invention, in a mode of pre-computing the alternative route feature Hermitian inner product matrix, repetitive computation on an inner product of the matrix in the iteration in an existing orthogonal matching pursuit algorithm is avoided, and computation complexity is greatly reduced; by performance simulation, effectiveness of the method provided by the invention under an underwater acoustic time-varying channel is verified; and simulation proves that the method provided by the invention can implement the same channel estimation accuracy in a case that computation complexity is much lower than that of the existing orthogonal matching pursuit algorithm, meanwhile, can also provide estimation accuracy higher than that of the orthogonal matching pursuit algorithm under the same computation complexity, and has practical application value.

Description

technical field [0001] The invention relates to an underwater acoustic communication method, in particular to a low-complexity underwater acoustic sparse time-varying channel estimation method. Background technique [0002] With the increase of people's ocean development activities, more and more marine information monitoring and acquisition equipment are used underwater, and the underwater acoustic communication technology that undertakes the task of underwater information transmission has become the focus of attention. In recent years, Orthogonal Frequency Division Multiplexing (OFDM) technology has been widely used in underwater communication systems because of its high spectral efficiency and good resistance to channel frequency selective fading. However, the underwater acoustic channel is one of the most complicated wireless channels due to factors such as fast time change, large spreading delay and serious Doppler shift. Therefore, for OFDM systems, accurate underwate...

Claims

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Application Information

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IPC IPC(8): H04L25/02
CPCH04L25/0242
Inventor 马璐宋庆军乔钢万磊刘凇佐
Owner HARBIN ENG UNIV
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