Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89039
Title: Parameter Estimation of Multiple Frequency-Hopping Signals with Two Sensors
Authors: Zuo, Le
Pan, Jin
Ma, Boyuan
Keywords: DOA Estimation
Synthetic Array
Issue Date: 2018
Source: Zuo, L., Pan, J., & Ma, B. (2018). Parameter Estimation of Multiple Frequency-Hopping Signals with Two Sensors. Sensors, 18(4), 1088-.
Series/Report no.: Sensors
Abstract: This paper essentially focuses on parameter estimation of multiple wideband emitting sources with time-varying frequencies, such as two-dimensional (2-D) direction of arrival (DOA) and signal sorting, with a low-cost circular synthetic array (CSA) consisting of only two rotating sensors. Our basic idea is to decompose the received data, which is a superimposition of phase measurements from multiple sources into separated groups and separately estimate the DOA associated with each source. Motivated by joint parameter estimation, we propose to adopt the expectation maximization (EM) algorithm in this paper; our method involves two steps, namely, the expectation-step (E-step) and the maximization (M-step). In the E-step, the correspondence of each signal with its emitting source is found. Then, in the M-step, the maximum-likelihood (ML) estimates of the DOA parameters are obtained. These two steps are iteratively and alternatively executed to jointly determine the DOAs and sort multiple signals. Closed-form DOA estimation formulae are developed by ML estimation based on phase data, which also realize an optimal estimation. Directional ambiguity is also addressed by another ML estimation method based on received complex responses. The Cramer-Rao lower bound is derived for understanding the estimation accuracy and performance comparison. The verification of the proposed method is demonstrated with simulations.
URI: https://hdl.handle.net/10356/89039
http://hdl.handle.net/10220/44758
ISSN: 1424-8220
DOI: 10.3390/s18041088
Rights: © 2018 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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