MULTITARGET PARTICLE FILTER BASED TRACK BEFORE DETECT ALGORITHM FOR TRACKING OF SPAWNING TARGETS

Date

2014-04-25

Author

Eyili, Mehmet
Demirekler, Mübeccel

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

293
views

0
downloads

In this paper, two proposed Track Before Detect (TBD) algorithms for spawning targets on the basis of raw radar measurements are described. These algorithms are developed by using multi-model particle filter method. To improve the efficiency of particle filter a novel reduced order model is introduced. The algorithms are confirmed by using the simulation results and their performances are analyzed on the basis of the probability of target existence and Root Mean Square (RMS) estimation accuracy for very low Signal-to-Noise Ratio (SNR) targets.

URI

https://hdl.handle.net/11511/52774

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Suggestions

OpenMETU
Core

Multi-target particle filter based track before detect algorithms for spawning targets / Eyili, Mehmet; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2014) In this work, a Track Before Detect (TBD) approach is proposed for tracking and detection of the spawning targets on the basis of raw radar measurements. The principle of this approach is mainly constructed by multi-model particle filter method. In contrast to the related works in the literature, a novel reduced order dynamic model is introduced and the information about bearing angle derived from the radar measurements is not used in this model to improve the efficiency of the particle filter. Moreover, a ...
Multi-dimensional hough transform based on unscented transform as a method of track-before-detect / Şahin, Gözde; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2014) Track-Before-Detect (TBD) is the problem where target state estimation and detection occur simultaneously, and is a suitable method for the detection of low-SNR targets in unthresholded sensor data. In this thesis, a new Multi-Dimensional Hough Transform (MHT) technique based on Unscented Transform is proposed for the detection of dim targets in radar data. MHT is a TBD method that fuses Hough Transform results obtained on (x-t), (y-t) and (x-y) domains in order to detect a constant velocity target. The pro...
Multiple target tracking with Gaussian mixture PHD filter using passive acoustic Doppler-only measurements Guldogan, Mehmet B.; Lindgren, David; Gustafsson, Fredrik; Habberstad, Hans; Orguner, Umut (null; 2012-09-12) In this paper, we present the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple ground targets using a passive acoustic-sensor network. For this purpose, an experimental setup consisting of a network of microphones and a loudspeaker was prepared. Non-cooperative transmissions from a loudspeaker (i.e. illuminator of opportunity) are exploited by non-directional separately located microphones (i.e. Doppler measuring sensors). Experimental proof-of-concept ...
Multi-scan data association algorithm for multitarget tracking Ağırnas, Emre; Demirbaş, Kerim; Department of Electrical and Electronics Engineering (2004) Data association problem for multitarget tracking is determination of the relationship between targets and the incoming measurements from sensors of the target tracking system. Performance of a multitarget tracking system is strongly related to the chosen method for data association and target tracking algorithm. Incorrect data association effects state estimation of targets. In this thesis, we propose a new multi-scan data association algorithm for multitarget tracking systems. This algorithm was implement...
Dual sided high frequency measurement of microelectronic packages Christ, Sean R.; Durgun, Ahmet Cemal; Aygun, Kemal; Hill, Michael J. (2020-10-01) © 2020 IEEE.Traditionally, validation of simulation data of microelectronic packages has been done by high frequency measurement of coplanar transmission line structures. Although this metrology has matured over the years, it is not directly applicable to product packages since they also include vertical interconnects. To address this issue, we developed a dual-sided measurement metrology, by utilizing a special fixture design and employing short-open-load-reciprocal calibration to maintain measurement stab...

Citation Formats

M. Eyili and M. Demirekler, “MULTITARGET PARTICLE FILTER BASED TRACK BEFORE DETECT ALGORITHM FOR TRACKING OF SPAWNING TARGETS,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52774.