Multi-range and multi-pulse radar detection in correlated non-Gaussian clutter

2007-10-12
Doyuran, Ulku Cilek
Tanık, Yalçın
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 Doppler steering vector. Generalized Likelihood Ratio Test (GLRT) is derived by means of estimating the clutter texture parameter and complex target return. Performance of the detector is investigated by means of numerical analysis and Monte-Carlo simulations.

Suggestions

Radar target detection in non-gaussian clutter
Doyuran, Ülkü; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2007)
In this study, novel methods for high-resolution radar target detection in non-Gaussian clutter environment are proposed. In solution of the problem, two approaches are used: Non-coherent detection that operates on the envelope-detected signal for thresholding and coherent detection that performs clutter suppression, Doppler processing and thresholding at the same time. The proposed non-coherent detectors, which are designed to operate in non-Gaussian and range-heterogeneous clutter, yield higher performanc...
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-target tracking using passive doppler measurements
Guldogan, Mehmet B.; Orguner, Umut; Gustafsson, Fredrik (2013-04-26)
In this paper, we analyze the performance of the Gaussian mixture probability hypothesis density (GM-PHD) filter in tracking multiple non-cooperative targets using Doppler-only measurements in a passive sensor network. Clutter, missed detections and multi-static Doppler variances are incorporated into a realistic multi-target scenario. Simulation results show that the GM-PHD filter successfully tracks multiple targets using only Doppler shift measurements in a passive multi-static scenario.
Synthesis of Controllable ptSTL Formulas
Saglam, Irmak; Aydın Göl, Ebru (2020-01-01)
In this work, we develop an approach to anomaly detection and prevention problem using Signal Temporal Logic (STL). This approach consists of two steps: detection of the causes of the anomalities as STL formulas and prevention of the satisfaction of the formula via controller synthesis. This work focuses on the first step and proposes a formula template such that any controllable cause can be represented in this template. An efficient algorithm to synthesize formulas in this template is presented. Finally, ...
Nonlinear Seismic Dam and Foundation Analysis Using Explicit Newmark Integration Method with Static Condensation
Albostan, Utku; Bahcecioglu, Tunc; Arıcı, Yalın; Kurç, Özgür (Elsevier BV; 2017-09-13)
Engineers use the explicit Newmark integration method to analyze nonlinear dynamic problems. Instead of using computationally expensive global matrix assembly and factorization, the explicit integration method performs computations at element level which is computationally efficient, easily parallelizable, and does not require equilibrium iterations in case of nonlinear analysis. On the other hand, the explicit schema might require much smaller time steps compared to implicit integration alternative especia...
Citation Formats
U. C. Doyuran and Y. Tanık, “Multi-range and multi-pulse radar detection in correlated non-Gaussian clutter,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31658.