Multi-target particle filter based track before detect algorithms for spawning targets /

Download
2014
Eyili, Mehmet
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 new process noise identification method [1] proposed for the classical target tracking is adapted to the TBD framework. The process noise identification is used for the state estimation of the highly maneuvering spawned targets in the presence of non-stationary process noise with unknown parameters. It is shown that this method deals with the sample impoverishment problem which is serious for tracking of the highly maneuvering targets by particle filters. Two different multi-target particle filter based TBD algorithms are developed. These algorithms are confirmed by simulations. Their performances are analyzed on the basis of the probability of target existences and Root-Mean-Square (RMS) estimation accuracies.

Suggestions

MULTITARGET PARTICLE FILTER BASED TRACK BEFORE DETECT ALGORITHM FOR TRACKING OF SPAWNING TARGETS
Eyili, Mehmet; Demirekler, Mübeccel (2014-04-25)
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...
Slow moving target detection for airborne radar systems by dynamic programming on SAR images
Gurer, Gorkem; Koc, Sencer; Candan, Çağatay; Orguner, Umut (2019-04-01)
A dynamic programming based approach is proposed to detect slow moving, low reflectivity targets for airborne radar systems. The suggested method utilizes the reflectivity amplitudes of the SAR image, possibly containing multiple slow moving targets, and poses the target detection problem as a maximum likelihood sequence detection problem. Dynamic programming is applied to capture the target related features such as along track smeared target signatures in the SAR image to this aim. Typical clutter and targ...
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...
Target Localization and Velocity Estimation Methods for Frequency-Only MIMO Radars
Kalkan, Yilmaz; Baykal, Buyurman (2011-05-27)
Target localization and the velocity estimation methods are proposed for frequency-only MIMO Radar with widely separated stations. For the target localization, time of arrival (TOA), angle of arrival (AOA) and frequency of arrival (FOA) informations can be used in cooperation. When the time resolution of the transmitted signals is not enough or good,i.e.; unmodulated CW radar, we can not rely on the TOA information to localize the target. On the other hand, if the frequency resolution of the transmitted sig...
Multi-range and multi-pulse radar detection in correlated non-Gaussian clutter
Doyuran, Ulku Cilek; Tanık, Yalçın (2007-10-12)
This work presents a multi-range cell and multi-pulse approach to radar detection problem. The derived detector performs clutter estimation using the neighboring range cells, clutter cancellation, threshold setting simultaneously and it eliminates the need for a separate CFAR operation. The radar clutter is modeled as compound-Gaussian and assumed to have fully-correlated unknown texture among the range cells in the window of interest. The target signal is composed of an unknown complex return and known Dop...
Citation Formats
M. Eyili, “Multi-target particle filter based track before detect algorithms for spawning targets /,” M.S. - Master of Science, Middle East Technical University, 2014.