Abstract
In previous work we proposed a direction of arrival (DOA) estimation method from non-coherent measurements taken by an array of sensors. Here, it is shown that the non-coherent measurements in the form of magnitude squared of array observations measured in the presence of additive white Gaussian noise are distributed according to a non-central chisquare distribution. It is further shown that, under certain conditions, the non-coherent measurements may be approximated by a Gaussian distribution. With this approximation, we develop the Cramer-Rao bound (CRB) on the non-coherent DOA estimation of a single source as well as an analytical expression of the maximum likelihood estimation (MLE) of the DOA. Numerical examples are presented to illustrate the performance of the non-coherent DOA estimator. For example, non-coherent DOA estimation outperforms coherent DOA when the standard deviation of the phase errors exceeds 15 degrees and the signal to noise ratio (SNR) exceeds 5 dB.
Original language | English (US) |
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Title of host publication | 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 506-510 |
Number of pages | 5 |
ISBN (Electronic) | 9781467394574 |
DOIs | |
State | Published - Apr 26 2016 |
Event | 50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States Duration: Mar 16 2016 → Mar 18 2016 |
Other
Other | 50th Annual Conference on Information Systems and Sciences, CISS 2016 |
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Country/Territory | United States |
City | Princeton |
Period | 3/16/16 → 3/18/16 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Information Systems