Paper
28 May 2013 Multi-platform RF emitter localization using extremum seeking control
Huthaifa Al Issa, Raúl Ordóñez
Author Affiliations +
Abstract
In recent years there has been growing interest in Ad-hoc and Wireless Sensor Networks (WSNs) for a variety of indoor applications. Thus, recent developments in communications and RF technology have enabled system concept formulations and designs for low-cost radar systems using state-of-the-art software radio modules. Position-Adaptive radar concepts have been formulated and investigated at the Air Force Research Laboratory (AFRL) within the past few years. Adopting a position-adaptive approach to the design of distributed radar systems shows potential for the development of future radar systems that function under new and challenging environments that contain large clutter discretes and require co-functionality within multi-signal RF environments. In this paper, we present the simulation performance analysis on the application aspect. We apply Extremum Seeking Control (ESC) schemes by using the swarm seeking problem, where the goal is to design a control law for each individual sensor that can minimize the error metric by adapting the sensor positions in real-time based on cross-path loss exponents estimates between sensors, thereby minimizing the unknown estimation error. As a result we achieved source seeking and collision avoidance of the entire group of the sensor positions.
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Huthaifa Al Issa and Raúl Ordóñez "Multi-platform RF emitter localization using extremum seeking control", Proc. SPIE 8753, Wireless Sensing, Localization, and Processing VIII, 875302 (28 May 2013); https://doi.org/10.1117/12.2014361
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KEYWORDS
Sensors

Radar

Sensor networks

Collision avoidance

Control systems

Error analysis

Transmitters

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