Direction-of-Arrival Estimation for Nested Array Using Mixed-Resolution ADCs
Lei Wang, Chunhui Ren, Renting Liu, Zhi Zheng
Abstract
In this letter, an effective method for estimating direction-of-arrival (DOA) using the nested array via mixed-resolution (MR) quantization is developed. First, we derive the output signal model of the nested array under MR quantization, and utilize MR quantized data to construct a quantized covariance matrix. Subsequently, we recover an unquantized augmented covariance matrix by formulating a rank-minimization problem in the coarray domain. Finally, we perform DOA estimation using the recovered covariance matrix. The proposed method can achieve excellent performance close to that of the existing methods using high-resolution data. Simulation results demonstrate the validity of our approach.
Topics & Concepts
Covariance matrixAlgorithmDirection of arrivalQuantization (signal processing)Computer scienceMatrix (chemical analysis)CovarianceEstimation of covariance matricesMathematicsStatisticsTelecommunicationsComposite materialAntenna (radio)Materials scienceDirection-of-Arrival Estimation TechniquesAdvanced Adaptive Filtering TechniquesSpeech and Audio Processing