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MIMO radar sparse array design method based on deep neural network

A deep neural network and sparse array technology, applied in the field of sparse array design problems, can solve problems such as high computational complexity

Pending Publication Date: 2020-09-22
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

Sparse array design is a combinatorial optimization problem, which can be solved by algorithms such as convex relaxation, but this method has high computational complexity

Method used

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  • MIMO radar sparse array design method based on deep neural network
  • MIMO radar sparse array design method based on deep neural network
  • MIMO radar sparse array design method based on deep neural network

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Embodiment Construction

[0033] For the convenience of description, first define the following:

[0034] Bold uppercase letters indicate matrices, bold lowercase letters indicate vectors, ( ) * is the conjugate, (·) T For the transpose, ( ) H is the conjugate transpose, ||x|| 0 and ||x|| 1 denote the l of the vector x respectively 0 Norm and l 1 Norm, ||W|| 0 Indicates the number of non-zero rows of matrix W, Denotes the l of the matrix W 2,1 Norm, Diag{} represents a block diagonal matrix, Denotes the expectation with respect to θ.

[0035] Consider a co-located MIMO radar system where both the transmit and receive antennas are placed on the abscissa of a two-dimensional Cartesian coordinate system. Suppose there are M transmitting antennas, and the position on the horizontal axis is known, which is d t,m (m=1,...,M). Assume that the feasible region for placing the receiving antenna is [0,D r ], in order to simplify the analysis, the feasible region is divided into intervals Δ r Discr...

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Abstract

The invention discloses an MIMO radar sparse array design method based on a deep neural network, belongs to the field of signal processing, and particularly relates to a sparse array design problem inMIMO radar broadband DOA estimation in a clutter environment. According to the method, a DNN structure matched with an optimization problem model is designed, in the DNN structure, an objective function and constraints in an optimization problem serve as a loss function of the DNN, a solution of the optimization problem serves as a connection weight in a network, and the optimization problem is solved by training the DNN. Simulation results show that under the conditions of high signal-to-noise ratio and high signal-to-clutter ratio, the test precision is close to the test precision under a full matrix, and the DOA of the target can be accurately estimated.

Description

technical field [0001] The invention belongs to the field of signal processing, and particularly relates to the problem of sparse array design in MIMO radar wideband DOA estimation under clutter environment. Background technique [0002] Different from the traditional phased array radar, MIMO (Multiple Input Multiple Output) radar uses multiple transmitting antennas to independently transmit different waveforms, and simultaneously uses multiple receiving antennas to jointly process the received echo signals. Compared with traditional phased array radar, MIMO radar has obvious advantages, such as higher resolution, better target detection, positioning and tracking performance, and better target parameter estimation and identification capabilities. DOA estimation research is an important content in array signal processing, and it has extremely wide applications in many fields such as radar, communication, survey, sonar, wireless sensor network and biomedicine. There are many ...

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Application Information

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IPC IPC(8): G01S13/02G01S7/41G06N3/04G06N3/08
CPCG01S13/02G01S7/417G01S7/418G06N3/084G06N3/045
Inventor 何茜任刚强
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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