G01S3/72

Direction finder antenna system
12487310 · 2025-12-02 · ·

A direction finder antenna system and method are described. The direction finder antenna system comprises a rotatable platform comprising at least two antenna units at selected distance between them, a motor configured for moving the rotatable platform at a motion pattern, and a signal collection circuit configured for receiving data on signal portions collected by said at least two antenna units with respect to different angular positions of said at least two antenna units. The signal collection circuit generates output data indicative of direction of origin of collected signal.

Systems, methods, and apparatus for estimating angle of arrival

Systems, methods, and apparatus for processing signals using a sensor arrays are disclosed. In one aspect, an apparatus comprising a sensor array and a computing device is provided. The computing device may comprise one or more processors configured to generate a data matrix based on one or more signals received at each of the plurality of sensor and to determine a covariance matrix based on the data matrix. The one or more processors may also be configured to decompose the covariance matrix into a matrix of eigenvalues and a matrix of eigenvectors and to determine a projected data matrix based on applying the data matrix to the eigenvector matrix. Further, the one or more processors may be configured to determine a denoised projected data matrix based on denoising the projected data matrix and to determine a denoised data matrix based on the denoised projected data matrix.

Systems, methods, and apparatus for estimating angle of arrival

Systems, methods, and apparatus for processing signals using a sensor arrays are disclosed. In one aspect, an apparatus comprising a sensor array and a computing device is provided. The computing device may comprise one or more processors configured to generate a data matrix based on one or more signals received at each of the plurality of sensor and to determine a covariance matrix based on the data matrix. The one or more processors may also be configured to decompose the covariance matrix into a matrix of eigenvalues and a matrix of eigenvectors and to determine a projected data matrix based on applying the data matrix to the eigenvector matrix. Further, the one or more processors may be configured to determine a denoised projected data matrix based on denoising the projected data matrix and to determine a denoised data matrix based on the denoised projected data matrix.