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MIMO radar waveform optimization method for rapid manifold modeling

A radar waveform and optimization method technology, applied in the radar field, can solve problems such as detection performance degradation, and achieve the effects of performance improvement, reduction of approximation errors, and high signal-to-interference-noise ratio

Pending Publication Date: 2021-11-12
YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

[0006] The technical problem to be solved by the present invention is: when the radar is interfered by strong side lobes, the detection performance declines

Method used

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  • MIMO radar waveform optimization method for rapid manifold modeling
  • MIMO radar waveform optimization method for rapid manifold modeling
  • MIMO radar waveform optimization method for rapid manifold modeling

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Embodiment

[0048] Co-located MIMO radar has M t root transmit antenna and M r Root receiving antenna. All transmit and receive antennas are isotropic. Both the transmitting and receiving antennas are uniform linear arrays, and the spacing between adjacent array elements is half a wavelength. The waveform sequence transmitted by the mth antenna can be expressed as where m=1,...,M t , L is the number of samples per waveform. Then, the waveform matrix can be expressed as

[0049] In this embodiment, the radar detects an aircraft target, and the target direction is θ 0 , there are Q strong scatterers or artificial interference sources in the airspace, and the target echo is submerged in the interference, which has a great impact on the radar detection. The direction of Q independent interference sources is θ i ,i=1,...,Q. The case where the target and interferer are in the same range indicates poor detection performance, since the delay of the target passing through the range gate...

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Abstract

The invention discloses an MIMO radar waveform optimization method for rapid manifold modeling, relates to the technical field of radars, and solves the problem that the detection performance is reduced when the radar is subjected to strong sidelobe interference. The method comprises the steps of performing joint optimization on a signal-to-noise ratio under constant modulus constraint, adding a weighting factor, combining into a new objective function for optimizing the SINR, converting a constraint problem in an Euclidean space in the objective function into an unconstrained optimization problem based on Riemannian manifold, performing optimization by adopting a Riemannian manifold BFGS algorithm for limiting a memory, obtaining an optimized MIMO radar receiver waveform matrix, importing the waveform matrix into MIMO radar data, and transmitting and receiving radar signals through an antenna. According to the method, the waveform of each snapshot of the radar is optimized, so that the MFL performance of the radar is remarkably improved.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a MIMO radar waveform optimization method for fast manifold modeling. Background technique [0002] MIMO (Multiple-Input Multiple-Output) radar has attracted extensive attention in recent years due to its superiority in target detection and parameter estimation. Among them, the dense antenna MIMO radar provides more flexibility for the design of the transmission pattern by transmitting different waveforms on each antenna, and effectively improves the signal-to-interference-noise ratio. Therefore, waveform design has become an extremely important topic for MIMO radar and has attracted a lot of attention. [0003] Recently, waveform design based on maximizing SINR (Signal-to-Interference-Noise Ratio) has become a research hotspot. There are two main types of methods: the first is to jointly optimize the waveform at the transmitter and the filter weight vector at the receiver. Such ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/16G01S7/02
CPCG06F30/20G06F17/16G01S7/023
Inventor 朱浩铭胡进峰赵紫薇张博宙周启航
Owner YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
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