Iterative least square method-based MIMO (multiple input multiple output) radar DOA (direction-of-arrival) estimation method

An iterative least squares and least squares technology, applied in the field of radar signal processing technology, can solve problems such as huge amount of calculation, large number of samples, unfavorable engineering implementation, etc., to improve estimation performance, fast convergence speed, and reduce calculation volume effect

Inactive Publication Date: 2014-04-23
XIDIAN UNIV
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Problems solved by technology

However, in the MIMO radar system where the data dimension increases sharply, these methods not only require a large amount of calculation, but also require a large number of samples to obtain good performance, which is not conducive to engineering implementation.

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  • Iterative least square method-based MIMO (multiple input multiple output) radar DOA (direction-of-arrival) estimation method
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  • Iterative least square method-based MIMO (multiple input multiple output) radar DOA (direction-of-arrival) estimation method

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[0022] The implementation process of the method of the present invention will be described below with reference to the accompanying drawings.

[0023] In order to better understand the present invention, the monostatic MIMO radar signal model is introduced first. figure 1 It is the structural diagram of the monostatic MIMO radar system, and the number of transmitting channels and the number of receiving channels are M and N respectively. The far-field target source has the same angle θ with respect to the transmitting and receiving elements. In a coherent processing interval, each transmitting channel simultaneously radiates a burst waveform consisting of K pulses, and the M transmitting waveforms are mutually orthogonal. Suppose the baseband signal of the mth (m=1,2,...,M) transmitted waveform is s m (t), transmit signal vector s(t)=[s 1 (t),s 2 (t),...,s M (t)] T satisfy:

[0024] ∫ T s ( t ...

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Abstract

The invention discloses an iterative least square method-based MIMO (multiple input multiple output) radar DOA (direction-of-arrival) estimation method, which is characterized in that receiving and transmitting array response matrixes on which dimension-reduced processing is performed are solved by using an iterative least square method. The iterative least square method-based MIMO radar DOA estimation method comprises the following steps: firstly, performing the dimension-reduced processing on echo data matrixes of multiple radar transmitted pulses and the receiving and transmitting array response matrixes; then, establishing cost functions under the least square condition, and solving the cost functions by utilizing a gradient descent-based iterative method; finally, estimating the direction of a target by utilizing known receiving and transmitting array manifolds. Compared with a traditional monostatic MIMO radar array DOA estimation method, the iterative least square method-based MIMO radar DOA estimation method disclosed by the invention directly obtains the DOA estimation of the target, and does not need to perform spectrum peak search. Noise is effectively suppressed by adopting the dimension-reduced processing, and the estimation accuracy under low signal to noise ratio is improved; the estimation, the inversion and the eigenvalue decomposition operation of high-dimensional data covariance matrixes are avoided; the defects that the calculated amount is high and the needed sample number is large when the traditional array DOA estimation method is applied to a monostatic MIMO radar are overcome.

Description

technical field [0001] The present invention belongs to the technical field of radar signal processing, specifically, according to the structural information contained in the radar target echo data of single base MIMO (multiple-transmit multiple-receive), the iterative least squares (I-LS) method is used to process the radar target Direction-of-Arrival (DOA, Direction-of-Arrival) estimation method. Background technique [0002] Since the Second World War in the 1930s, modern radar technology has experienced rapid development for more than 80 years. Since the 21st century, driven by the great success of the MIMO wireless communication theory, a new system of radar—MIMO radar has gradually become a research hotspot in the field of radar. According to the distribution of radar antennas in space, MIMO radar can be divided into two types: centralized MIMO radar and distributed MIMO radar. Among them, the centralized MIMO radar can adopt two working modes of single base and doub...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02
CPCG01S7/288G01S7/41
Inventor 冯大政赵海霞吕辉朱国辉解虎袁明冬
Owner XIDIAN UNIV
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