Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Particle filters for positioning, navigation, and tracking
IEEE Transactions on Signal Processing
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
| Hi-index | 0.00 |
In this paper, we present a location estimation method based on received signal strength (RSS) measurement or observation equation. The practical maximum likelihood (ML) estimator is asymptotically optimal in the sense it is asymptotically minimum variance unbiased (MVU) estimator and efficient estimator. We apply ML method to locating a target using multiple measurements where especially, numerical method is required. We employ two types of 'initial guesses' based on least squares (LS) method before initiating the iterative ML method in this paper. We show the performances comparison of a number of methods to achieve the optimal solution. The practical problems our approach can be applied to are 'localising mobile phones using multiple base stations' or 'localising wireless sensors using multiple anchor sensor nodes', etc.