Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Delivering real-world ubiquitous location systems
Communications of the ACM - The disappearing computer
Kernel-Based Positioning in Wireless Local Area Networks
IEEE Transactions on Mobile Computing
Wireless Personal Communications: An International Journal
A Survey on Wireless Position Estimation
Wireless Personal Communications: An International Journal
Speech spectrum modeling for joint estimation of spectral envelope and fundamental frequency
IEEE Transactions on Audio, Speech, and Language Processing
A Signal Strength Based Location Estimation Algorithm within a Wireless Network
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
Blind Position Location via Geometric Loci Construction
Wireless Personal Communications: An International Journal
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Super-resolution TOA estimation with diversity for indoor geolocation
IEEE Transactions on Wireless Communications
RSS-Based Location Estimation with Unknown Pathloss Model
IEEE Transactions on Wireless Communications
Indoor geolocation science and technology
IEEE Communications Magazine
Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments
IEEE Transactions on Neural Networks
Wireless Personal Communications: An International Journal
UHF Band Short Range Propagation Model
Wireless Personal Communications: An International Journal
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Location estimation in a wireless local area network (WLAN) using received signal strength indication (RSSI) has gained considerable attention in recent years. In a conventional RSSI based indoor WLAN localization, mobile node position is estimated through access point (AP) placed at ceiling height. Researchers have proposed solutions for location estimation in line of sight (LOS) scenarios, by installing the AP at a fixed position. This paper demonstrates the improved location accuracy in LOS and obstructed line of sight (OLOS) scenarios by placing the AP at lower heights. The RSSI variations caused by shadow fading for changing AP heights are used to estimate the location accuracy. The localization performance is computed in terms of Cramer-Rao lower bound (CRLB) of range estimate under dynamic environments which is relatively less complex computation technique and is calibration free. Simulation results reveal that the proposed method has better performance than the multilateration with linearization for access point localization algorithm. The minimum mean localization errors are obtained by deploying the access point at 2 m height. The results also demonstrate that the indoor localization accuracy improves for higher order path loss exponent.