A New Robust Adaptive Beamforming Method Under DoA Mismatch Condition

Abstract

The invention discloses a novel robust self-adaptive wave beam forming method under DOA mismatch conditions, mainly solves problems of array radar target detection performance loss under serious mismatch of direction of arrival. The achieving steps are: 1. a orthogonal matrix U is obtained; 2. a rotating vector r is obtained; the expected steering vector is estimated under serious mismatch of direction of arrival conditions; 3. weighted vector under serious mismatch of direction of arrival is estimated; 4. a robust wave beam forming method optimization problem is formed based on a generalized rank signal model; 5. weighted vector is calculated, the novel robust self-adaptive wave beam forming method estimates the weighted vector of expected signal within large uncertain sets, then the robust wave beam forming method based on the generalized rank signal model is used to obtain the robustness to compete other types of mismatch, which can achieve the maintenance of main lobe under the premise of no losing degree of freedom under serious mismatch conditions and the higher output signal and interference to noise ratio is obtained to improve the performance of array radar during target object detection.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a new robust adaptive beamforming method under the condition of DOA mismatch, that is, a new robust adaptive beamforming method under the condition of serious angle of arrival mismatch, and further relates to an array radar self-adaptive beamforming method. Adaptive signal processing techniques can be used for robust beamforming in case of severe DOA mismatch. Background technique [0002] The Capon beamformer is also called the minimum variance distortion-free response MVDR beamformer, which selects the weight vector by minimizing the output power of the array so that it is a constant in the irradiation direction. The standard Capon beamformer SCB is very sensitive to steering vector errors. Steering vector errors are caused by many reasons, such as DOA estimation errors and array element position disturbance errors. [0003] Some scholars proposed a robust beamforming method base...

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Problems solved by technology

However, when the power of the interferer is greater than that of the signal of interest, IRCB may converge to a steering vector for the interferer rather than the desired signal

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