Faculty Publications
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Publications by NITK Faculty
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Item All neighbor fuzzy relational data association for multitarget tracking in the presence of ECM(Institute of Electrical and Electronics Engineers Inc., 2017) Satapathi, G.S.; Srihari, P.This paper proposes a novel data association approach based on fuzzy relational clustering for multi target tracking in the presence of electronic counter measures (ECM). Likelihood values and similarity index are calculated for each observation obtained from radar. Expectation maximization technique is applied to obtain possibility association matrix. Simulation results demonstrate that, proposed method performs better, when compared to conventional joint probability association (JPDA) and fuzzy clustering (FCM) approaches in terms of position and velocity root mean square error (RMSE). Further, current approach yielded average reduction of 50.5% and 35.5% for position and velocity RMSE values respectively in case of linear crossing targets. © 2016 IEEE.Item Waveform agile sensing approach for tracking benchmark in the presence of ECM using IMMPDAF(Czech Technical University, 2017) Satapathi, G.S.; Srihari, P.This paper presents an efficient approach based on waveform agile sensing, to enhance the performance of benchmark target tracking in the presence of strong interference. The waveform agile sensing library consists of different waveforms such as linear frequency modulation (LFM), Gaussian frequency modulation (GFM) and stepped frequency modulation (SFM) waveforms. Improved performance is accomplished through a waveform agile sensing technique. In this method, the selection of waveform to be transmitted at each scan is determined, by jointly computing ambiguity function of waveform and Cramer-Rao Lower Bound (CRLB) matrix of measurement errors. Electronic counter measures (ECM) comprises of stand-off jammer (SOJ) and self-screening jammer (SSJ). Interacting multiple model probability data association filter (IMMPDAF) is employed for tracking benchmark trajectories. Experimental results demonstrate that, waveform agile sensing approach require only 39:98 percent lower mean average power compared to earlier studies. Further, it is observed that the position and velocity root mean square error values are decreasing as the number of waveforms are increasing from 5 to 50.Item STAP-Based Approach for Target Tracking Using Waveform Agile Sensing in the Presence of ECM(Springer Verlag, 2018) Satapathi, G.S.; Srihari, P.This paper proposes a space-time adaptive processing (STAP)-based approach to enhance the performance of single target tracking in the presence of strong interference. Waveform agile sensing approach is used to improve the performance. The waveform library consists of linear frequency modulation waveforms with varying pulse repetition frequency and pulse width. Multidimensional filtering approach of STAP is applied, to mitigate the clutter and jamming effect. A waveform is selected based on Cramer–Rao lower bound (CRLB) from a bank of waveforms for next scan so as to minimize the mean square error. Stand-off jammer is considered as an electronic counter measure technique. Interacting multiple model probabilistic data association filter is engaged to track single targets. It is evident from the simulation results that proposed approach accomplishes an average position RMSE 62.79 and 56.01% higher compared to CRLB for maneuvering target and benchmark trajectory-2, respectively. © 2017, King Fahd University of Petroleum & Minerals.