DOA Estimation Using Compressive Sampling-Based Sensors in the Presence of Interference

摘要

In this article, we propose a new compressive-sampling-based approach to detect a target and obtain its direction-of-arrival (DOA) by using samples collected by a set of sensor nodes. Since these sensors sample at a rate below Nyquist, instead of the Nyquist rate, the complexity, power consumption, memory requirement, and the volume of data that needs to be exchanged between sensors, are much lower than those of the existing approaches. The proposed scheme jointly estimates the DOA, the variance of the noise, and the covariance matrix of the interference. As a result, simulations have shown that this scheme significantly outperforms techniques that simply combine the noise and the interference.gg