MIMO radar multi-measurement vector DOA estimation method based on iterative near-end projection

A radar, near-end technology, applied in the field of multi-input multi-output radar target parameter estimation

Active Publication Date: 2019-08-27
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] Purpose of the invention: The technical problem solved by the present invention is to provide a method for effectively solving the problem of non-convex and non-smooth sparse representation for MIMO radar DOA estimation based on compressed sensing to improve the performance of DOA estimation

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  • MIMO radar multi-measurement vector DOA estimation method based on iterative near-end projection

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[0031] Below in conjunction with embodiment the present invention will be further described.

[0032] Such as figure 1 As shown, the MIMO radar multi-measurement vector DOA estimation method based on iterative near-end projection of the present invention comprises the following steps:

[0033] Step 1: Perform matched filtering on the MIMO radar receiving array signal with M transmitting array elements and N receiving array elements, and take J snapshots to capture the output signal X=AS+N of the MIMO radar virtual array, where is the received signal matrix; is the signal matrix, where represents a complex field; is the Gaussian noise matrix; is the transmit-receive joint steering matrix, where is the steering vector of the transmit array corresponding to the pth (p=1,2,...,P) target, is the steering vector of the receiving array corresponding to the pth (p=1,2,...,P) target, (·) T represents the matrix transpose, θ p is the azimuth angle of the pth (p=1,2,...,P)...

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Abstract

The invention discloses an MIMO radar multi-measurement vector DOA estimation method based on iterative near-end projection. The method comprises the following steps: converting high-dimensional echodata into a low-dimensional space to reduce the spatial dimension, performing singular value decomposition on the data subjected to dimension reduction, extracting a signal subspace to reduce the timedomain dimension, representing the non-convex non-smooth sparse optimization problem in the MIMO radar multi-measurement vector DOA estimation by using a near-end function optimization model, and then obtaining a near-end operator through an extrapolation step and an SCAD function in the iterative process to solve the optimization problem. According to the invention, the DOA estimation performance of the coherent information source under the conditions of low snapshot and low signal-to-noise ratio is superior to that of the existing algorithm.

Description

technical field [0001] The invention relates to a multi-input multi-output radar target parameter estimation method, in particular to an iterative near-end projection-based MIMO radar multi-measurement vector DOA estimation method. Background technique [0002] Multiple Input and Multiple Output (MIMO) radar is a new system radar developed based on MIMO communication technology. Compared with traditional phased array radars, MIMO radars have shown many advantages in target detection, anti-jamming, target parameter estimation, and target recognition, so it has become a research hotspot in academia. [0003] Direction of Arrival (DOA) estimation is an important content of MIMO radar parameter estimation. Nowadays, there are countless algorithms for MIMO radar DOA estimation, such as Capon algorithm, multiple signal classification (Multiple Signal Classification, MUSIC) algorithm, signal parameter estimation based on rotation invariant technology (Estimation of Signal Paramete...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S3/14
CPCG01S7/418G01S3/143Y02T10/40
Inventor 陈金立郑瑶李家强
Owner NANJING UNIV OF INFORMATION SCI & TECH
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