Abstract
In this paper, we investigate localization techniques based on direction-of-arrival (DoA) measurements to estimate the position of primary users in cognitive radio networks. In the proposed approach, different multi-antenna sensors estimate the DoA of a primary signal by subspace-based techniques and the target position is estimated from the available DoA measurements using maximum-likelihood, least-squares, or Stansfield estimators. The resulting localization performance is evaluated numerically and compared to the Cramr-Rao bound derived under a considered problem setting. The impact of several system parameters (in particular, number of sensors and number of antennas per sensors) is thoroughly analyzed and discussed.
Highlights
After more than 10 years of research on cognitive radio (CR) systems [1,2], a large variety of spectrum sensing techniques have been proposed
This conclusion has been recently acknowledged by the Federal Communications Commission, whose latest memorandum [6] replaced spectrum sensing by a database-oriented approach such that primary users (PUs) positions and times of activity are known in advance
In [21], the Cramer-Rao bound (CRB) of DoA estimation is derived as a function of the signalto-noise ratio (SNR) ρi, the number of antennas m of sensor j, and the number of received signal samples N
Summary
After more than 10 years of research on cognitive radio (CR) systems [1,2], a large variety of spectrum sensing techniques have been proposed (see, e.g., [3,4,5]). Penna and Cabric EURASIP Journal on Wireless Communications and Networking 2013, 2013:107 http://jwcn.eurasipjournals.com/content/2013/1/107 power nor of the propagation channel This localization technique, often referred to as bearings-only target location, was originally proposed and analyzed in the navigation literaturea (see, for example, [12,13,14,15,16]).
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