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Multiple input multiple output (MIMO) radar array position error self-correcting method based on genetic algorithm

A genetic algorithm and self-correction technology, which is applied in the field of self-correction of position error of multi-input multi-output radar array, can solve the problem of DOA estimation performance decline greatly, and achieve performance improvement, high spatial resolution, and improved robustness

Inactive Publication Date: 2010-07-07
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

When there is an array position error, the DOA estimation performance of the above method drops greatly

Method used

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  • Multiple input multiple output (MIMO) radar array position error self-correcting method based on genetic algorithm
  • Multiple input multiple output (MIMO) radar array position error self-correcting method based on genetic algorithm
  • Multiple input multiple output (MIMO) radar array position error self-correcting method based on genetic algorithm

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Embodiment Construction

[0038] MIMO radar array geometric error model: the target model is the classic Swerling Case ∏, the target is in the far field, and it is a point target. For ease of mathematical processing, the Doppler effect and clutter are ignored. Assume that the MIMO radar system consists of a uniform linear array T of M transmit antennas 1 ,T 2 ,...,T M and a uniform linear array R of N receiving antennas 1 ,R 2 ,...,R N constitute. In order to meet the unambiguous direction finding, the element spacing of the receiving antenna is taken as d R = 0.5λ, in order to achieve the largest virtual array aperture, here the distance between the transmitting antennas is taken as d T =Nd R. The system simultaneously transmits M linearly independently encoded pulses s m , transmit signal S=[s 1 ,s 2 ,...,s M ] T are orthogonally independent. Among them, M is the number of transmitting antenna elements, which is a natural number greater than 1, N is the number of receiving antenna elem...

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Abstract

The invention discloses a multiple input multiple output (MIMO) radar array position error self-correcting method based on a genetic algorithm, belonging to an MIMO radar array position error self-correcting method. The method comprises the following steps of: carrying out one-dimensional spectral peak search according to an ideal array element position by utilizing a MUSIC method to obtain the initial value theta k of direction of arrival (DOA); generating an initial group, carrying out individual fitness evaluation according to f(G), and finding out f max; carrying out genetic evolution operations of selection, crossing, heteromorphosis and the like to generate a new generation of search group, and carrying out fitness evaluation to reduce a deviation factor sigma; revising the theta k according to the optimal individual in the population; and carrying out genetic iteration until a greatest iteration number is set. By using the method, online estimation and correction of array position error can be finished while the DOA estimation is carried out, thereby the robustness of estimation of system parameters is improved.

Description

technical field [0001] The invention relates to a multi-input multi-output (Multi-input Multi-output, MIMO) radar array position error self-correction method, in particular to a joint online estimation method of array element position error and DOA. Background technique [0002] Inspired by MIMO (Multiple Input Multiple Output, Multiple Input Multiple Output) communication, Fishler et al. proposed the concept of MIMO radar. The space diversity technology of MIMO radar observes the target from multiple angles, so it is not sensitive to the RCS fluctuation of the target. In addition, MIMO radar can obtain high spatial resolution by utilizing flexible transmit diversity design. Therefore, the concept of MIMO radar and related array signal processing techniques have received more and more attention. [0003] At present, there are many researches on parameter estimation of MIMO radar. Petre Stoica et al. proposed beamforming algorithms for single-base MIMO radars, including Ca...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/40
Inventor 张弓刘帅
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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