Method for direction of arrival estimation of coherent source of single-base MIMO radar

Abstract

The invention belongs to the technical field of radars and discloses a method for direction of arrival estimation of a coherent source of a single-base MIMO radar. The method can be used for goal orientation and tracking of the single-base MIMO radar with any array manifold. The method is implemented in the following steps: step 1, a guiding vector of the single-base MIMO radar is written according to the array manifold; step 2, an M-dimension Vandermonde vector is set, and a transfer matrix G is obtained; step 3, a transformed guiding vector is obtained through a smooth transformation matrix F; step 4, matched filtering is conducted on received data of the MIMO radar, the received data obtained after matched filtering are recorded as X(k), transformed data Y(k)=FGX(k) are obtained through the transfer matrix G and the smooth transformation matrix F, and then an autocorrelation matrix is formed; step 5, eigen-decomposition is conducted on the autocorrelation matrix, and then a noise subspace is formed; step 6, a space zero spectral function is formed through the noise subspace; step 7, the polynomial rooting method is adopted to obtain a target azimuth angle.

Description

technical field [0001] The invention belongs to the field of radar technology, and in particular relates to any single-base MIMO radar coherent source direction-of-arrival estimation method, which can be used for target orientation and tracking of single-base MIMO radars with arbitrary array manifolds. Background technique [0002] Multiple-input multiple-output radar (MIMO radar) makes full use of waveform diversity gain to improve its spatial resolution, improve parameter estimation accuracy and increase the maximum number of targets that can be located by the system. In recent years, MIMO radar has developed very rapidly, and the method of direction of arrival (DOA) estimation is the key issue of MIMO radar research. Among various array structures, the uniform linear array has become the basis of MIMO radar DOA algorithm research because of its simple structure, easy implementation, and the ability to use various fast DOA algorithms. However, a one-dimensional uniform li...

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Problems solved by technology

[0003] At present, the most basic angle super-resolution estimation method is the multi-signal classification MUSIC method. Although this method can work in any array manifold, it needs to search the angle in the whole space, and the calculation load is very large.

In addition, the subspace-type high-resolution DOA estimation algorithm represented by the MUSIC algorithm has good resolution performance and high estimation accuracy for incoherent spatial sources, but its resolution performance gradually decreases with the increase of the correlation degree between spatial sources. deterioration

[0004] The traditional array spatial smoothing algorithm is a commonly used preprocessing method to deal with coherent sources. Then, on the basis of forward and backward spatial smoothing techniques, subarray covariance algorithm and weighted spatial smoothing algorithm appeared. These improved algorithms are used in some This reduces the aperture loss of the array to a certain extent and improves the resolving power of coherent sources, but it also brings a greater amount of calculation

The various smoothing-based decoherence methods mentioned above are all based on uniform linear array structures, which cannot handle arbitrary array manifolds; and these algorithms obtain their decoherence capabilities by sacrificing the effective aperture of the array. After coherence, the ability to distinguish coherent sources also has a large decline

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