Actual-value ESPRIT non-circular signal angle estimation method for single-base MIMO radar
A non-circular signal and angle estimation technology, applied in the field of radar, can solve the problems of unfavorable algorithm real-time implementation, failure, and increase of algorithm calculation complexity
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Publication Date
- 2018-07-20
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Abstract
Description
technical field
[0001] The invention belongs to the field of radar technology, in particular to a method for estimating the angle of a single-base MIMO radar real-value ESPRIT non-circular signal. Background technique
[0002] At present, the commonly used existing technologies in the industry are as follows: multiple input multiple output (MIMO) radar is a new radar system developed based on MIMO communication technology. Using the idea of waveform diversity, MIMO radar uses multiple transmitting antennas to simultaneously transmit mutually orthogonal waveforms, and simultaneously uses multiple receiving antennas to receive target reflected signals. Compared with traditional phased array radar, MIMO radar has higher angular resolution and more degrees of freedom, and has better angle estimation performance. Direction of arrival (DOA) estimation is an important research content of MIMO radar parameter estimation. Rotation-invariant subspace technique (Estimate signal par...
Examples
Embodiment Construction
[0047] In order to make the object, technical solution and advantages of the present invention clearer, 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.
[0048] Such as figure 1 As shown, the monostatic MIMO radar real-valued ESPRIT non-circular signal angle estimation method provided by the embodiment of the present invention includes the following steps:
[0049] S101: Perform matching filtering on the received data of the array element and the transmitted waveform to obtain the observed data vector;
[0050] S102: Perform dimensionality reduction preprocessing on the observation data to obtain low-dimensional space received data vectors;
[0051] S103: Constructing a real-valued received data vector of doubling the array aperture by using the non-circular characteristic of...