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The nature of pre-determined and on-demand mobile network fabrics can beexploited for real time Position Location and Tracking (PL&T) of radios andsensors (nodes) for Global Positioning System (GPS) denied or GPS-free systems.This issue is addressed by a novel system of integrated zone finding andtriangulation method for determining the PL&T of nodes when mobile networkfabrics are employed based on using directional antennas for radiocommunications. Each mobile node is switched dynamically between being areference and a target node in PL&T operation to improve the PL&T accuracy of atarget node. This paper presents the Baseline PL&T with predictive Kalmanfilter and Integrated Zone based PL&T algorithm design that integrates zonefinding and triangulation method. The performance of the proposed algorithm isanalysed using Interleaving-KV sample coding & error correction in Rayleigh andRician channel using Orthogonal Frequency Division Multiplexing (OFDM) systemunder the severe multipath fading.

Real Time Position Location & Tracking (PL&T) using Prediction Filter and Integrated Zone Finding in OFDM Channel