Detection in heterogeneous radar clutter

Date

2007-06-13

Author

Doyuran, Uelkue Cilek
Tanık, Yalçın

Metadata

Show full item record

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

Item Usage Stats

107
views

0
downloads

Classical algorithms that were derived with Rayleigh clutter assumption yield increased false alarm rate under Weibull clutter. In this study, a method for radar thresholding in range-heterogeneous Weibull radar clutter is proposed. The method employs Expectation-Maximization (EM) algorithm in estimation of the parameters and sets the threshold according to these estimates to yield the desired false alarm rate. Due to the mathematical complexity of the shape parameter estimation, an algorithm that uses a predefined shape parameter set is proposed. Performance of the algorithm is analyzed and it is shown to perform successfully even under spiky clutter conditions.

Subject Keywords

Radar detection, Radar clutter, Parameter estimation, Yield estimation, Shape , Performance analysis, Algorithm design and analysis, Testing

URI

https://hdl.handle.net/11511/31848

DOI

https://doi.org/10.1109/siu.2007.4298620

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

Suggestions

OpenMETU
Core

Detection of the Weak Targets by Using Multi Dimensional Hough Transform Based Track Before Detect Algorithm Turhan, Hasan Ihsan; Demirekler, Mübeccel (2016-05-19) This study proposes a multi-dimensional Hough transform algorithm that is improved from [1] by detecting weak targets in the high clutter. In the proposed algorithm execution time is reduced by eliminating the measurements considering speed and SNR values before the Hough transform. The skor-based track confirmation algorithm proposed in [1] is improved and tracks that belong to same target are eliminated. The proposed algorithm is tested with real data and results are presented.
Detection of component composition mismatch with axiomatic design Toğay, Cengiz; SUNDAR, Gayathri; Doğru, Ali Hikmet (2006-04-02) This paper presents a software component composition methodology based on Axiomatic Design theory and Design Structure Matrix. The methodology we propose helps overcome anomalies and functional problems such as deadlock. Our approach can be described in two steps. First, we decompose the system to detect coupled components by using the Design Structure Matrix. Secondly, we represent attribute and method dependencies of the coupled components to identify issues during software composition using Design Matrix...
Analysis of Non-Homogeneous Weibull Distributed Clutter Yasin, M. Hanseref; Uner, Mucahit K. (2019-01-01) In this study, for high resolution CFAR (Constant False Alarm Rate) radar systems, Expectation-Maximization (EM) method was applied to range heterogeneous Weibull clutter to determine homogeneous regions and estimate the parameters of distributions. The number of distribution in range and their ratio, the scale and shape parameter of distributions were assumed to be unknown. The performance of EM algorithm in terms of, the number of clutter regions in the environment, the ratio of the regions, the number of...
Compressive sensing for radar target detection Çağlıyan, Firuze; Yılmaz, Ali Özgür; Department of Electrical and Electronics Engineering (2014) Compressive sampling, also known as compressive sensing and sparse recovery, is a new type of sampling theory, which predicts that sparse signals and images can be reconstructed from far less amount of data than what was traditionally considered necessary (i.e. Nyquist/Shannon sampling theory). The theory has many applications such as design of new imaging systems, cameras, sensor networks and analog to digital converters. Several algorithms have been proposed for the measurement and recovery process of the...
Detection for The Starting of The Newly Applied Mass for Successive Weighing Danacı, Mustafa; Kalınlı, Adem (1999-09-01) In this study, new approaches are proposed over a range of conditions with unknown loading time to determine the initial conditions and identify the explicit model parameters of successive weighing system in the early part of the transient response. When a new mass is applied to the platform, the starting of the newly applied mass is detected by modelling error approach and then predicted automatically using the Non-Linear Regression (NLR) method and the detection process is repeated for successive continuo...

Citation Formats

U. C. Doyuran and Y. Tanık, “Detection in heterogeneous radar clutter,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31848.