Method and system for measuring direction of arrival of wireless signal using circular array displacement

A method of estimating a Direction Of Arrival (DOA) of a wireless signal by using a Uniform Circular Displaced Sensor Array (UC-DSA) configuration system, the method comprises:

• providing two or more nodes for detecting a wireless signal in a vicinity, wherein a node is a device capable of transmitting and receiving wireless signals;
• arranging a circular antenna array at each node for receiving the detected wireless signal, wherein at least two circular antenna array are arranged, and wherein the antenna elements are arranged in concentric circles, and wherein the antenna elements are separated by a preset minimum distance;
• passing the detected and received wireless signal to a RF receiver, wherein the RF receiver captures the received wireless signal for processing;
• estimating the DOA of the received wireless signal by a DOA estimator;
• localize the position of the target using estimated DOAs.

A method of estimating the Direction of Arrival (DOA) by a DOA estimator comprising a DOA estimation algorithm, the method comprises:

• receiving a signal from an inner circular antenna array of a set of two circular antenna arrays through a Radio Frequency (RF) receiver;
• receiving a signal from an outer circular antenna array of the set of two circular antenna arrays through a Radio Frequency (RF) receiver;
• processing the signal from inner circular antenna array and outer circular antenna array, wherein the processing comprises summing of an output of an inner antenna to an output of a displaced outer antenna, and wherein a summation of the output of the inner antenna to the output of the displaced outer antenna results in the formation of output samples;
• creating several covariance matrices (R) from the samples;
• taking an average of the covariance matrices (R);
• calculating a noise eigenvector by evaluating the averaged covariance matrix (R);
• computing a MUltiple SIgnal Classification (MUSIC) spectrum by using the noise eigenvector;
• and
• identifying the DOA of the wireless signal from a peak in the power spectrum.