A variable structure - autonomous - interacting multiple model ground target tracking algorithm in dense clutter

Download

index.pdf

Date

2013

Author

Alat, Gökçen

Metadata

Show full item record

Item Usage Stats

182
views

87
downloads

Tracking of a single ground target using GMTI radar detections is considered. A Variable Structure- Autonomous- Interactive Multiple Model (VS-A-IMM) structure is developed to address challenges of ground target tracking, while maintaining an acceptable level computational complexity at the same time. The following approach is used in this thesis: Use simple tracker structures; incorporate a priori information such as topographic constraints, road maps as much as possible; use enhanced gating techniques to minimize the e ect of clutter; develop methods against stop-move motion and hide motion of the target; tackle on-road/o -road transitions and junction crossings; establish measures against non-detections caused by environment. The tracker structure is derived using a composite state estimation set-up that incorporate multi models and MAP and MMSE estimations. The root mean square position and velocity error performances of the VS-A-IMM algorithm are compared with respect to the baseline IMM and the VS-IMM methods found in the literature. It is observed that the newly developed VS-A-IMM algorithm performs better than the baseline methods in realistic conditions such as on-road/o -road transitions, tunnels, stops, junction crossings, non-detections.

Subject Keywords

Radar., Filters (Mathematics)., Probabilistic automata., Ground Target Tracking.

URI

http://etd.lib.metu.edu.tr/upload/12615512/index.pdf
https://hdl.handle.net/11511/22260

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A Knowledge based approach in GMTI for the estimation of the clutter covariance matrix in space time adaptive processing Anadol, Erman; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2012) Ground Moving Target Indication (GMTI) operation relies on clutter suppression techniques for the detection of slow moving ground targets in the presence of strong radar returns from the ground. Space Time Adaptive Processing (STAP) techniques provide a means to achieve this goal by adaptively forming the clutter suppression filter, whose parameters are obtained using an estimated covariance matrix of the clutter data. Therefore, the performance of the GMTI operation is directly a ected by the performance o...
Parametric estimation of clutter autocorrelation matrix for ground moving target indication Kalender, Emre; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2013) In airborne radar systems with Ground Moving Target Indication (GMTI) mode, it is desired to detect the presence of targets in the interference consisting of noise, ground clutter, and jamming signals. These interference components usually mask the target return signal, such that the detection requires suppression of the interference signals. Space-time adaptive processing is a widely used interference suppression technique which uses temporal and spatial information to eliminate the effects of clutter and ...
Automatic small target detection in synthetic infrared images YARDIMCI, Ozan; Ulusoy, İlkay (2017-04-11) Automatic detection of targets from far distances is a very challenging problem. Background clutter and small target size are the main difficulties which should be solved while reaching a high detection performance as well as a low computational load. The pre-processing, detection and post-processing approaches are very effective on the final results. In this study, first of all, various methods in the literature were evaluated separately for each of these stages using the simulated test scenarios. Then, a ...
Ground Target Tracking of a Temporarily Invisible Target due to Topographic Constraints Alat, Goken; Leblebicioğlu, Mehmet Kemal; Baykal, Buyurman (2013-04-26) It is possible that topographic constraints hide targets in ground target tracking. It is important that hidden targets are tracked effectively when they are invisible during hidden portions of their motion. In addition to that, existence of heavy clutter makes the problem even more challenging. To address this problem, an airborne GMTI radar with a VSIMM-PDAF tracker is considered. Traditional approaches make assumptions regarding the motion of the target during hidden modes, e. g., constant velocity assum...
Investigation of the Effects of Buried Object Orientation in Subsurface Target Detection by GPR Doğan, Mesut; Sayan, Gönül (2017-10-27) Use of ultra-widehand ground penetrating radars (GPRs) have been the most effective approach in subsurface target detection. Proper preprocessing, prescreening, feature extraction, classification and fusion techniques are all needed to satisfy the requirements of high detection probability and low false alarm rates, simultaneously. Dominating ground reflection signals and soil clutter effects including the randomly varying non-planar ground surfaces, inhomogeneous soil nature, pebbles or rocks within the so...

Citation Formats

G. Alat, “A variable structure - autonomous - interacting multiple model ground target tracking algorithm in dense clutter,” Ph.D. - Doctoral Program, Middle East Technical University, 2013.