A Knowledge based approach in GMTI for the estimation of the clutter covariance matrix in space time adaptive processing

Download

index.pdf

Date

2012

Author

Anadol, Erman

Metadata

Show full item record

Item Usage Stats

375
views

448
downloads

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 of the estimation process mentioned above. Knowledge based techniques are applicable in applications such as the parametric estimation of the clutter covariance matrix and the estimation of the clutter covariance matrix in a nonhomogeneous clutter environment. In this study, a knowledge based approach which makes use of both a priori and instantaneous data is proposed for the mentioned estimation process. The proposed approach makes use of Shuttle Radar Topography Mission (SRTM) data as well as instantaneous platform ownship data in order to determine distributed homogeneous regions present in the region of interest; and afterwards employs Doppler Beam Sharpening (DBS) maps along with the colored loading technique for the blending process of the a priori data and the instantaneous data corresponding to the obtained homogeneous regions. A nonhomogeneity detector (NHD) is also implemented for the elimination of discrete clutter and target-like signals which may contaminate the STAP training data. Simulation results are presented for both the knowledge aided and the traditional cases. Finally, the performance of the STAP algorithm will be evaluated and compared for both cases. Results indicate that by using the developed processing approach, detection of previously undetectable targets become possible, and the overall number of false alarms is reduced.

Subject Keywords

Radar., Radar, Radar transmitters., Computer algorithms.

URI

http://etd.lib.metu.edu.tr/upload/12615014/index.pdf
https://hdl.handle.net/11511/22008

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

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 ...
Jammer cancelation by using space-time adaptive processing Uysal, Halil; Severcan, Mete; Department of Electrical and Electronics Engineering (2011) Space-Time Adaptive Processing (STAP) has been widely used in spaceborne and airborne radar platforms in order to track ground moving targets. Jammer is an hostile electronic countermeasure that is being used to degrade radar detection and tracking performance. STAP adapts radar’s antenna radiating pattern in order to reduce jamming effectiveness. Jamming power that enters the system is decreased with respect to the adapted radiation pattern. In this thesis, a generic STAP radar model is developed and imple...
Spectral and statistical analyses of experimental radar clutter data Kahyaoğlu, Nazlı Deniz; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2010) The performance of radar detection and imaging systems strongly depends on the characteristics of radar clutter. In order to improve the radar signal processing algorithms, successful analysis and modeling of radar clutter are required. For a successful model of radar clutter, both the spectral and statistical characteristics of the clutter should be revealed. Within the scope of this study, an experimental radar data acquisition system is established to analyze radar clutter. The hardware and the data proc...
ARMA model based clutter estimation and its effect on clutter supression algorithms Tanrıverdi, Güneş; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2012) Radar signal processing techniques aim to suppress clutter to enable target detection. Many clutter suppression techniques have been developed to improve the detection performance in literature. Among these methods, the most widely known is MTI plus coherent integrator, which gives sufficient radar performance in various scenarios. However, when the correlation coefficient of clutter is small or the spectral separation between the target and clutter is small, classical approaches to clutter suppression fall...
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

E. Anadol, “A Knowledge based approach in GMTI for the estimation of the clutter covariance matrix in space time adaptive processing,” M.S. - Master of Science, Middle East Technical University, 2012.