Kinematic Model-Based Human Detectors for Multi-Channel Radar

Date

2012-04-01

Author

GÜRBÜZ, SEVGİ ZÜBEYDE
Melvin, William L.
Williams, Douglas B.

Metadata

Show full item record

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

Item Usage Stats

178
views

0
downloads

Humans are difficult targets to detect because they have small radar cross sections (RCS) and move at low velocities. Consequently, they are masked by Doppler spread ground clutter generated by the radar bearing platform motion. Furthermore, conventional radar-based human detection systems employ some type of linear-phase matched filtering, whereas most human targets generate a highly nonlinear phase history. This work proposes an enhanced, optimized, nonlinear phase (EnONLP) matched filter that exploits knowledge of human gait to improve the radar detection performance of human targets. A parametric model of the expected human response is derived for multi-channel radar systems and used to generate a dictionary of human returns for a range of possible parameter variations. The best linear combination of projections in this dictionary is computed via orthogonal matching pursuit (OMP) to detect and extract features for multiple targets. Performance of the proposed EnONLP method is compared with that of traditional space-time adaptive processing (STAP) and a previously derived parameter estimation-based ONLP detector. Results show that EnONLP exhibits a detection probability of about 0.8 for a clutter-to-noise (CNR) ratio of 20 dB and input signal-to-noise ratio (SNR) of 0 dB, while ONLP yields a 0.3 and STAP yields a 0.18 probability of detection for the same false alarm rate.

Subject Keywords

Recognition, Walking

URI

https://hdl.handle.net/11511/67136

Journal

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

DOI

https://doi.org/10.1109/taes.2012.6178063

Collections

Unclassified, Article

Suggestions

OpenMETU
Core

Kinematic analysis of imaging seekers with roll-over-nod gimbal and a folded electro-optical layout Kandemir, Kutlu D.; Yazıcıoğlu, Yiğit; Ozkan, Bulent (2019-01-01) Nod-over-roll is a commonly used gimbal configuration especially in air-to-air missile seekers due to its volumetric advantage. It may further scaled down by implementing a folded optical layout and locating the detector off-gimbal. Yet, the concept suffers from an inherent kinematic singularity problem right at the center of its task space, where roll axis and pointing vectors coincide. The phenomenon is called zenith pass problem and has to be solved in real time for proper target tracking. A second drawb...
Ontology-based trajectory simulation framework Durak, Umut; Oğuztüzün, Mehmet Halit S.; Ider, S. Kemal (ASME International, 2008-03-01) Trajectory simulations are tools to compute the flight path and flight parameters of munitions. We present an ontology-based object-oriented reuse infrastructure and discuss the underlying model driven development methodology. The strategic objective is to make domain knowledge and software reusable across a wide variety of trajectory simulation projects.
Low velocity moving target detection with synthetic aperture radar Narin, Görkem; Koç, Seyit Sencer; Department of Electrical and Electronics Engineering (2019) Detection of slow moving targets with small radar cross sections (RCS) is a challenging problem for the Ground Moving Target Indication (GMTI) systems. GMTI systems face high false alarm and/or frequent target miss rates for such targets. Synthetic Aperture Radar (SAR) systems, on the other hand, offer sufficiently large target energy return, unfortunately not localized to a point in the SAR image due to target motion. This thesis is focused on the study of two methods for moving target detection in SAR ima...
Low elevation target detection and direction finding Uyar, Görkem; Tanık, Yalçın; Kuzuoğlu, Mustafa; Department of Electrical and Electronics Engineering (2012) Ground based radars often experience difficulties in target detection and direction finding (DF) applications due to the interference between the direct and surface reflected signals when the targets fly at low altitudes. In this thesis, the phenomena governing the low angle propagation are overviewed and a multipath signal model including the effects of refraction, specular reflection, diffuse reflection, curvature of the earth and antenna polarization is presented. Then, the model is utilized to develop d...
Classification of human motion using radar micro-doppler signatures with hidden markov models Padar, Mehmet Onur; Candan, Çağatay; Department of Electrical and Electronics Engineering (2016) The detection and classification of a moving person is one of the important missions of a ground surveillance radar. Classification information gives the opportunity of announcing a warning message on the suspicious activity of detected person. The studies show that radar micro-Doppler signatures can be used to obtain the needed features to make the classification of different types of human motions. In general, spectrograms of micro-Doppler signals obtained from human in motion are used to analyze the nece...

Citation Formats

S. Z. GÜRBÜZ, W. L. Melvin, and D. B. Williams, “Kinematic Model-Based Human Detectors for Multi-Channel Radar,” IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, pp. 1306–1318, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67136.