TY  - CONF
N2  - This paper presents the design of an Extended Gradient Predictor and Filter for smoothing Received Signal Strength Indicator (RSSI). In wireless communication RSSI is a measurement of power in received signal, which is a parameter used for handover and position estimation purpose. In real time applications such as handover and position estimation requires continuous reception of RSSI measurements. Due to the effect of noise, variations occur in the received signal, which sometimes produce communication holes. In that case, RSSI measurements become zero, which produces distance estimation error. In order to minimize the effect communication, an existing Gradient filter is modified based on most recent RSSI measurement received. The advantage of the proposed extended Gradient RSSI predictor and filter is that it predicts and filters RSSI values in the presence of communication holes for real time object tracking. The performance of proposed extended Gradient RSSI predictor and filter is tested using simulated and real-time RSSI measurements using Bluetooth technology, which shows better performance in case of communication holes occur. © 2014 Global IT Research Institute (GIRI).
PB  - Institute of Electrical and Electronics Engineers Inc.
CY  - PyeongChang
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898993738&doi=10.1109%2fICACT.2014.6779148&partnerID=40&md5=1f83f922a081e2ee30fb689a58162cc6
AV  - none
ID  - scholars5417
SN  - 17389445
TI  - Extended Gradient Predictor and Filter for smoothing RSSI
Y1  - 2014///
EP  - 1202
A1  - Subhan, F.
A1  - Ahmed, S.
A1  - Ashraf, K.
KW  - Communication systems; Wireless telecommunication systems
KW  -  Bluetooth technology; Gradient filters; Position estimation; Real-time application; Real-time object tracking; Received signal strength indicators; RSSI; Wireless communications
KW  -  Estimation
N1  - cited By 10; Conference of 16th International Conference on Advanced Communication Technology: Content Centric Network Innovation!, ICACT 2014 ; Conference Date: 16 February 2014 Through 19 February 2014; Conference Code:104597
SP  - 1198
ER  -