DOA Estimation Exploiting Interpolated Multi-Frequency Sparse Array
Shuimei Zhang, Ammar Ahmed, Yimin D. Zhang, Shunqiao Sun
Abstract
We consider gridless direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the degrees of freedom as more frequency components are used. A modified sensor interpolation technique is developed to accurately estimate the signal covariance matrix using very few snapshots, thereby eliminating the requirement of a large number of snapshots as in conventional different coarray-based DOA estimation. Simulation results demonstrate high-resolution gridless DOA estimation capability of more targets than the number of physical sensors.
Topics & Concepts
Computer scienceDirection of arrivalInterpolation (computer graphics)Covariance matrixSparse arrayAlgorithmSensor arrayArray processingSignal processingDegrees of freedom (physics and chemistry)SIGNAL (programming language)Artificial intelligenceTelecommunicationsAntenna (radio)PhysicsMachine learningRadarProgramming languageQuantum mechanicsMotion (physics)Direction-of-Arrival Estimation TechniquesSpeech and Audio ProcessingRadar Systems and Signal Processing