A low-complexity monostatic mimo radar non-circular signal angle estimation method

A non-circular signal, low-complexity technology, applied in the radar field, which can solve problems such as unfavorable real-time implementation, failure, and low estimation accuracy

Active Publication Date: 2021-04-13
XIAN UNIV OF POSTS & TELECOMM +1
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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the current MIMO radar space target angle estimation method based on ESPRIT technology has high computational complexity, which is not conducive to real-time implementation, and it is estimated under the conditions of low signal-to-noise ratio and low snapshot number The problem of low precision or even failure

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  • A low-complexity monostatic mimo radar non-circular signal angle estimation method

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[0054] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0055] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0056] like figure 1 As shown, the low-complexity monostatic MIMO radar non-circular signal angle estimation method provided by the embodiment of the present invention includes the following steps:

[0057] S101: Perform dimensionality reduction transformation on received data after matched filtering;

[0058] S102: Utilizing the non-circular characteristic of the signal, constructing received data of array aperture expansion;

[0059] S103: Perform forward and backward averaging on...

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Abstract

The invention belongs to the technical field of radar, and discloses a low-complexity monostatic MIMO radar non-circular signal angle estimation method, which uses dimension reduction transformation to reduce received data to a low-dimensional space, and then utilizes the non-circular characteristic of a transmitted signal to construct an expanded aperture The received data matrix is ​​obtained; the center conjugate symmetric DFT matrix is ​​used to convert the received data into the beam space, and the complex-valued data covariance matrix is ​​real-valued; the rotation-invariant relationship of the real-valued signal subspace is constructed in the low-dimensional beam space , get the DOA estimate of the target. The present invention utilizes the characteristics of non-circular signals to construct received data extended by virtual array elements for DOA estimation, and uses dimension reduction transform and beam space real-value transform jointly to obtain higher angle estimation accuracy and higher angle estimation accuracy than the conventional ESPRIT algorithm. angular resolution with lower computational complexity.

Description

technical field [0001] The invention belongs to the technical field of radar, and in particular relates to a method for estimating the non-circular signal angle of a low-complexity single base MIMO radar. Background technique [0002] Multiple input multiple output (MIMO) radar is a new system radar developed internationally in recent years. MIMO radar adopts the idea of ​​waveform diversity, and uses the orthogonality of the transmitted waveform to process the received signal, and can obtain a large-aperture virtual array with higher angular resolution and more degrees of freedom. Direction of arrival (DOA) estimation is an important part of MIMO radar parameter estimation. At present, there are numerous algorithms for space target angle estimation in MIMO radar. Rotation invariant subspace technique (Estimatesignal parameters via rotational invariance technique, ESPRIT) is a representative of subspace super-resolution DOA estimation algorithm, which can be used for MIMO ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/02
Inventor 徐丽琴何晓川张霞
Owner XIAN UNIV OF POSTS & TELECOMM
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