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Low-complexity receiving and transmitting angle joint estimation method for non-circular signal double-base MIMO radar

A low-complexity, joint estimation technique, applied in the radar field, can solve problems such as little attention to the sampling signal characteristics of MIMO radar systems

Inactive Publication Date: 2014-08-13
HARBIN ENG UNIV
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Problems solved by technology

[0004] However, the above methods pay little attention to the characteristics of the sampled signal of the MIMO radar system

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  • Low-complexity receiving and transmitting angle joint estimation method for non-circular signal double-base MIMO radar
  • Low-complexity receiving and transmitting angle joint estimation method for non-circular signal double-base MIMO radar
  • Low-complexity receiving and transmitting angle joint estimation method for non-circular signal double-base MIMO radar

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Embodiment Construction

[0056] specific implementation plan

[0057] The present invention will be described in more detail below in conjunction with accompanying drawing:

[0058] Aiming at the problem of estimating the transmitting and receiving angles of non-circular signals in a bistatic MIMO (Multiple Input Multiple Output, MIMO) radar system, the present invention proposes a low-complexity wave-off direction (direction of departure, DOD) for non-circular signal bistatic MIMO radars. and direction of arrival (DOA) joint estimation algorithm. The main purpose is to solve the shortcomings of the existing bistatic MIMO radar angle estimation algorithm, which have low performance, need to calculate the covariance matrix and eigendecomposition, have a large amount of calculation, and are not conducive to hardware implementation. Firstly, the present invention expands the received data by using the non-circular characteristics of the received signal, so that the MIMO radar virtual array element is do...

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Abstract

The invention provides a low-complexity receiving and transmitting angle joint estimation method for non-circular signal double-base MIMO radar. Firstly, observation data are extended according to the non-circular characteristic of received signals of the MIMO radar, and a virtual array element of the MIMO radar is amplified by one time. Secondarily, the observation data are divided into two orthogonal portions according to the front-to-back recursion formula of multi-stage Wiener filtering, the two orthogonal portions serve as desired signals of a next stage of multi-stage Wiener filtering and observation data vectors respectively, and then a new signal subspace and a new noise space are formed through pre-filtering matrixes. Finally, the target transmission angle DOD is estimated according to the extended ESPRIT, the target reception angle DOA is estimated according to the estimated value of the DOD and the non-circular ROOTMUSIC technology, and two-dimension parameters of the DOD and two-dimension parameters of the DOA are automatically paired to obtain the target transmission angles, relative to the transmission end, of many targets and target reception angles, relative to the reception end, of the targets. According to the method, the virtual aperture of the MIMO radar is increased according to the non-circular signal characteristic, maximization of the recognized targets is achieved, the algorithm complexity is low, and additional pairing processes are not needed.

Description

technical field [0001] The invention relates to the technical field of radars, in particular to a low-complexity joint estimation method for transmitting and receiving angles of bistatic MIMO radars with non-circular signals. Background technique [0002] In recent years, MIMO radar based on multiple input multiple output (Multiple Input Multiple Output, MIMO) communication theory has attracted extensive attention. Because MIMO radar can use waveform diversity technology and space diversity technology to process the reflected signal at the receiving end, compared with traditional phased array radar, MIMO radar has more degrees of freedom and stronger parameter identification ability (IEEE Transactions on Signal Processing: 2006, 54(10): 3873-3883; IEEE Signal Processing Magazine: 2008, 25(1): 116-129), potential advantages such as higher angle estimation accuracy and angle resolution (IEEE Signal Processing Magazine : 2007, 24(5): 106-114). [0003] The joint estimation of...

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Application Information

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IPC IPC(8): G01S7/285
CPCG01S3/74G01S13/003
Inventor 王伟王咸鹏刘琦李欣黄平王慧王犇梁栋
Owner HARBIN ENG UNIV
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