Bidimensional wave arrival direction estimation method based on non-concentric electromagnetic vector array radar

Abstract

The invention discloses a bidimensional wave arrival direction estimation method based on a non-concentric electromagnetic vector array radar. The bidimensional wave arrival direction estimation method mainly solves the problems of serious cross coupling and low estimated accuracy of a polarization array radar in the process of target positioning and tracking. The method includes a first step of building receiving data of a sparse uniform non-concentric electromagnetic vector sensor array, a second step of carrying out eigenvalue decomposition to the received data to obtain a signal subspace, a third step of obtaining dim direction cosine precision estimation according to signal subspace tectonic rotation invariant relationship equation, and through utilization of the least square algorithm, a fourth step of obtaining non-dim-direction cosine rough estimation through utilization of the signal subspace, and a fifth step of combining the dim direction cosine precision estimation and the non-dim-direction cosine rough estimation, the bidimensional wave arrival direction estimation can be obtained. The bidimensional wave arrival direction estimation method effectively expands array physical apertures on the condition of not adding array elements and complexity of hardware, enables the bidimensional wave arrival direction estimation accuracy to be greatly improved, and can be applied to accurate positioning and tracking of the radar to targets.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, relates to two-dimensional direction-of-arrival estimation of polarized array radar, and can be used for target positioning and tracking. Background technique [0002] Array signal processing is an important research branch of modern signal processing, and its application involves many fields such as radar, communication, biomedical engineering and sonar. Direction of arrival estimation is one of the most important research directions in array signal processing. In the past 30 years, a large number of research results have emerged for the direction of arrival estimation of array antennas. Representative results include: Capon, multiple signal classification MUSIC, rotation invariant subspace technology ESPRIT, maximum likelihood and subspace fitting algorithms, etc. . [0003] Conventional array antennas can obtain time domain and space domain information of incident signals, wh...

AI Technical Summary

Problems solved by technology

None of these studies on non-concentric electromagnetic vector sensors involved specific DOA estimation algorithms. In 2011, Wong and Yuan successfully implemented the vector cross product algorithm in a single non-concentric electromagnetic vector sensor, filling the gap in this field. , which makes the large-scale application of electromagnetic vector sensors in engineering possible, but there are still four defects in this algorithm: First, because it is a single non-concentric electromagnetic vector sensor, the rank of the covariance matrix of the received data cannot exceed 6, and the maximum number of targets can be estimated The number is 5; the second is that the algorithm is based on the time-domain rotation invariance, so the requirements for the form of the incident signal source are more stringent, it must be a single-frequency signal and the frequency is different; the third is that the algorithm can only The high-precision estimation of the one-dimensional direction cosine cannot be obtained, but the high-precision estimation of the two-dimensional direction of arrival cannot be obtained; the fourth is that if a higher-precision estimation of the direction of arrival is required, such as in the terminal guidance radar, a single non-concentric electromagnetic vector sensor antenna is unable to meet the requirements

Images