Target Location and Identity Estimation and Fusion using Disparate Sensor Data 2005-5841

Naidu, VPS and Girija, G and Raol, JR (2005) Target Location and Identity Estimation and Fusion using Disparate Sensor Data 2005-5841. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, 15-18 August 2005, San Francisco, California.

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A scheme for estimation of target identity and location using synthesized data of disparate sensors is13; presented in this paper. Target scenario generation is carried out using marked spatial point process.13; Infrared sensor data and acoustic sensor data for the scenario are simulated using sensor mathematical13; models. The sensor data are fused using Bayesian fusion wherein the likelihood functions of the two sensors13; are used to obtain the posterior probabilities. From the posterior probability distribution, the target identity13; and location are established using search algorithms. A comparison of four search algorithms, Metropolis13; Hastings, Simulated annealing, Gradual greedy and Ant colony optimization is made for a two dimensional13; scenario with two targets. Comparative performance is studied based on several criteria. It was seen that13; gradual greedy algorithm has a better performance compared to the Metropolis Hastings and Simulated13; annealing algorithms. The ant colony optimization algorithm has performance which compares with the13; gradual greedy algorithm and may be preferred for real time applications since it is amenable for parallel13; implementation.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Sensors mathematical models
Subjects: AERONAUTICS > Aeronautics (General)
Depositing User: Mr. N A
Date Deposited: 29 Oct 2007
Last Modified: 24 May 2010 04:09

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