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Compressive sensing high-resolution array processing method based on subspaces

A technology of compressed sensing and array processing, which can be applied to measurement devices, instruments, radio wave measurement systems, etc., and can solve problems such as poor noise robustness and insufficient resolution

Active Publication Date: 2018-06-19
SOUTHEAST UNIV
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Problems solved by technology

[0026] The problem of solving the sparse signal s is transformed into a convex optimization problem, but the algorithm has problems such as insufficient resolution and poor robustness to noise for DOA estimation in shallow sea environment when there is coherence between signal and noise

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  • Compressive sensing high-resolution array processing method based on subspaces
  • Compressive sensing high-resolution array processing method based on subspaces
  • Compressive sensing high-resolution array processing method based on subspaces

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Embodiment 1

[0136] The specific experimental conditions of this embodiment are described as follows:

[0137] The far-field signals from 5 different signal sources are received by a linear equidistant array composed of 20 sensors. The theoretical arrival angles of the 5 signals are 5°, 10°, 15°, 20° and 25°, The sampling frequency of the sensor is 200 times.

[0138] The additional noise on the sensor array consists of the superposition of coherent signals of these 5 signals and Gaussian noise (background noise). Each signal source emits four other coherent signals (additional noise) in addition to the signal that goes directly to the array. Suppose the angle of arrival of the direct signal is θ i , then the arrival angles of the four corresponding coherent signals are θ i +1°,θ i -1°,θ i +2°,θ i -2°.

[0139] Such as figure 1 As shown, in this embodiment, the present invention is compared with several existing technologies, and it can be seen that the present invention can ident...

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Abstract

The invention discloses a compressive sensing high-resolution array processing method based on subspaces, and a convex optimization calculation function is constructed by employing the sparsity of measured signals in a sparse matrix. According to the method, the signals can be recognized in a coherent condition of the signals and noise; and in different signal-to-noise ratio conditions, the root-mean-square error of the method is smaller than that of other contrast algorithms, and the calculating time of the method and the calculating time of the conventional methods are almost the same.

Description

technical field [0001] The invention relates to an underwater acoustic signal processing technology, in particular to a subspace-based compressed sensing high-resolution array processing method. Background technique [0002] Target detection and localization in shallow seas are fundamental issues in marine science research and technology applications. In shallow waters, during the propagation of signals from different signal sources, the signal amplitude weakens, and the noise in the ocean and the coherence between signals affect the detection and location of different signal sources. Array signal processing technology is needed to suppress the interference signal to realize the separation and localization of the acoustic signal. [0003] Direction of Arrival (DOA) estimation is a key issue in the field of array signal processing, and has a wide range of applications in many fields such as radar, communication, and earthquake. The most representative of the earliest array ...

Claims

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Application Information

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IPC IPC(8): G01S5/22
CPCG01S5/22
Inventor 姜龙玉张喆
Owner SOUTHEAST UNIV
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