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Antenna Arrangement Method for Mimo Radar Based on Virtual Antenna Kuhn-Munkres Algorithm

A technology for transmitting antennas and virtual antennas, applied in the field of signal processing, can solve problems such as the inability to guarantee the global optimal solution, and achieve the effects of guaranteed target detection performance, reduced computational complexity, and fast operation speed

Active Publication Date: 2022-05-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Although the greedy algorithm is excellent in terms of calculation speed, it cannot guarantee the global optimal solution

Method used

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  • Antenna Arrangement Method for Mimo Radar Based on Virtual Antenna Kuhn-Munkres Algorithm
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  • Antenna Arrangement Method for Mimo Radar Based on Virtual Antenna Kuhn-Munkres Algorithm

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Embodiment Construction

[0038] For the convenience of description, first define the following:

[0039] Bold lowercase letters indicate vectors, bold uppercase letters indicate matrices, ( ) * is the conjugate, (·) T For the transpose, ( ) H is the conjugate transpose, Diag{} represents block diagonal matrix, diag{} represents diagonal matrix, I K is the identity matrix of order K, and det(·) represents the determinant of the matrix. Indicates the mathematical expectation, and Var{} indicates the variance.

[0040] Consider a MIMO radar system with N receiving antennas whose positions are known as (x R,n ,y R,n ),n=1,...,N, M transmitting antennas have Q optional grid points, the position is (x T,q ,y T,q ), q=1,...,Q, where the receiving antennas and transmitting antennas are separated by large intervals. The transmit signal of the mth transmit antenna is The normalized waveform is Indicates the emission energy, T s Indicates the sampling interval, and the sampling time is k, k=1,...,K...

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Abstract

The invention discloses a MIMO radar transmitting antenna arrangement method based on a virtual antenna Kuhn-Munkres algorithm, which belongs to the field of signal processing. Provided is a MIMO radar transmitting antenna arrangement method under the Neyman-Pearson criterion, which takes the output signal-to-noise ratio of the detector as the detection performance evaluation index. In this method, combined with the matching theory in the bipartite graph, we regard the transmitting antennas and optional grid points as vertices in the bipartite graph, and regard the performance impact caused by the antenna arrangement as edges with weights in the graph . Due to the different numbers of transmitting antennas and grid points, the original antenna placement problem is transformed into a MWM problem in an asymmetric bipartite graph. Next, by adding virtual antennas to construct a symmetric bipartite graph, the Kuhn-Munkres algorithm can be applied to select the optimal location of the transmitting antenna. We call this virtual antenna-based KM algorithm the VKM method. Through our proposed VKM method, the optimal location can be selected within the allowed area to place the transmitting antenna with low complexity.

Description

technical field [0001] The invention belongs to the field of signal processing, relates to the problem of transmitting antenna arrangement in the technical field of MIMO radar target detection, and is suitable for layout design of MIMO radar transmitting antenna. Background technique [0002] The concept of MIMO (Multiple Input Multiple Out) radar was originally derived from the multiple input multiple output technology in communication, and it can be divided into two categories: co-located MIMO radar and separate MIMO radar. For the split antenna MIMO radar system, because it can detect the target from all angles simultaneously, so as to realize the gain of space diversity, it has higher target detection performance. The location selection of the antenna has an important impact on the performance of the radar system. In the case of increasingly complex electromagnetic environment, how to arrange the antenna to better improve the performance of the radar system has become an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/00G01S13/02G01S7/40G06F30/20G06F111/10
CPCG01S13/006G01S13/02G01S7/4004G06F30/20G01S2013/0245G06F2111/10
Inventor 孙丽何茜
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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