Co-Prime Sensor Array Siganal Processing
Abstract
We propose to develop a comprehensive statistical performance analysis of co-prime arrays for direction-of-arrival (DOA) estimation" and active radar sensor array applications, as well as methods to analyze the co-prime sensing systems and to optimally design them"". Specifically, we propose to compute performance bounds on the number of sources that can be identified by co-prime arrays. We will"" compute the achievable estimation accuracy of co-prime arrays, and derive expressions for the statistical source resolution limit a"chieved by co-prime arrays for DOA estimation using detection and estimation theory. We will analyze the sensitivity of estimation p"erformed by co-prime arrays to modeling errors such as ambiguity in sensor locations, phase perturbations, noise covariance, etc. We"" propose to develop novel co-prime array processing methods that employ multiple, spatially distributed co-prime arrays. To reduce t""he computational burden on the processor, we will develop optimal decentralized parameter estimation algorithms employing multiple a""rrays. We propose compute the optimal deployment of multiple moving arrays by optimizing the posterior Cramer-Rao bound, extending o"ur earlier work. We will devise a new framework of developing algorithms to optimally schedule various array actions for best performance based on game theory. We propose to extend our statistical data analysis of narrowband co-prime arrays to wideband signal models. We propose to formulate a new framework for performing statistical inference from the fusion of multi-modal and multi-sensor data obtained by employing co-prime arrays jointly with various other sensing modalities. Our proposed framework for multi-sensor data fusion and sensor selection is inspired by the trading behavior in a commercial society.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 05, 2017
- Source ID
- N000141712371
Entities
People
- Arye Nehorai
Organizations
- Office of Naval Research
- United States Navy
- Washington University in St. Louis