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Direction of Arrival Estimation Method for Monostatic Multiple-Input Multiple-Output Radar Target Based on Sparse Representation

A direction-of-arrival estimation and radar target technology, applied in the field of MIMO radar systems, can solve problems such as limited angular resolution and high computational load

Active Publication Date: 2017-10-03
HARBIN ENG UNIV
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Problems solved by technology

However, most of the methods based on sparse representation in monostatic MIMO radar have two disadvantages: 1) In the process of signal reconstruction, high computational load due to high-dimensional complete dictionary and multiple measurement vector (MMV) problem
2) Due to the aperture of MIMO radar, the angular resolution is limited

Method used

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  • Direction of Arrival Estimation Method for Monostatic Multiple-Input Multiple-Output Radar Target Based on Sparse Representation
  • Direction of Arrival Estimation Method for Monostatic Multiple-Input Multiple-Output Radar Target Based on Sparse Representation
  • Direction of Arrival Estimation Method for Monostatic Multiple-Input Multiple-Output Radar Target Based on Sparse Representation

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Embodiment Construction

[0093] The present invention is described in more detail below in conjunction with accompanying drawing:

[0094] combine Figure 1 , the main steps of the method of the present invention are: 1, establish the receiving signal model of monostatic MIMO radar, and design the dimensionality reduction matrix to carry out the dimensionality reduction process to the received data; 2, utilize the unitary transformation matrix, transform the dimensionality reduction matrix into 3. Vectorize the real-valued covariance matrix to solve the MMV problem, and obtain the corresponding model under the sparse representation framework; 4. Design the weight matrix to obtain the estimation parameter and construct real-valued l 1 The norm minimization framework uses the SOC (second order cone) calculation method of the programming software package to obtain the restoration matrix and find the non-zero rows in the restoration matrix to realize the estimation of the DOA of the single-static MIMO ra...

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Abstract

The invention provides a sparse representation-based single-base multi-output multi-input radar target direction of arrival estimation method. The method includes the following steps that: a received signal model of a single-base multi-output multi-input (MIMO) radar system is established, and a dimension reduction transformation matrix is constructed to perform dimension reduction processing on the received signal model; a unitary transformation matrix is utilized to convert a received signal matrix which has been subjected to dimension reduction into a real-domain matrix, and a real-value extension data matrix is designed, and the covariance matrix of the real-value extension data matrix is obtained; the real-value covariance matrix is vectorized according to Khatri-Rao product, and therefore, the problem of multiple measurement vectors (MMV) can be solved, and a corresponding model under a sparse representation framework is obtained; and finally a weight matrix is designed, and estimation parameters are obtained, and a real-value l<1> norm minimization framework is constructed, and a recovery matrix is obtained, and a non-zero row is searched in the recovery matrix, and as a result, the estimation of the direction of arrival (DOA) of a target in the MIMO radar system can be realized. The method of the invention has the advantages of significantly-decreased computational complexity, higher angle resolution, better angle estimation performance and lowest SNR critical value.

Description

technical field [0001] The invention relates to the technical field of MIMO radar systems, in particular to the application of DOA estimation in MIMO radar systems, in particular to a single base MIMO radar DOA estimation method based on sparse representation with high computing efficiency. Background technique [0002] Multiple-input multiple-output (MIMO) radar has attracted much attention in the radar field and has become a hot research topic (IEEE Signal Processing Magazine, 2007, 24(5): 106-114). MIMO radar can be divided into two categories, one is statistical MIMO radar, and the other is coherent MIMO radar, including bistatic MIMO radar and monostatic MIMO radar. In bistatic MIMO radars, the transmit and receive arrays are separated from each other, but in monostatic contrast, they are close to each other. Therefore, the directions of the angle of departure (DOD) and angle of arrival (DOA) of bistatic MIMO radar waves are different, while they are the same in monost...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02
CPCG01S7/02
Inventor 周卫东刘婧王咸鹏宫文贺刘可朱鹏翔王长龙高宁赵廷储敏
Owner HARBIN ENG UNIV
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