Picture of boy being examining by doctor at a tuberculosis sanatorium

Understanding our future through Open Access research about our past...

Strathprints makes available scholarly Open Access content by researchers in the Centre for the Social History of Health & Healthcare (CSHHH), based within the School of Humanities, and considered Scotland's leading centre for the history of health and medicine.

Research at CSHHH explores the modern world since 1800 in locations as diverse as the UK, Asia, Africa, North America, and Europe. Areas of specialism include contraception and sexuality; family health and medical services; occupational health and medicine; disability; the history of psychiatry; conflict and warfare; and, drugs, pharmaceuticals and intoxicants.

Explore the Open Access research of the Centre for the Social History of Health and Healthcare. Or explore all of Strathclyde's Open Access research...

Image: Heart of England NHS Foundation Trust. Wellcome Collection - CC-BY.

On model, algorithms and experiment for micro-doppler based recognition of ballistic targets

Persico, Adriano Rosario and Clemente, Carmine and Gaglione, Domenico and Ilioudis, Christos V. and Cao, Jianlin and Pallotta, Luca and De Maio, Antonio and Proudler, Ian and Soraghan, John J. (2017) On model, algorithms and experiment for micro-doppler based recognition of ballistic targets. IEEE Transactions on Aerospace and Electronic Systems, 53 (3). pp. 1088-1108. ISSN 0018-9251

[img]
Preview
Text (Persico-etal-IEEE-TAES-2016-On-model-algorithms-and-experiment-for-micro-doppler)
Persico_etal_IEEE_TAES_2016_On_model_algorithms_and_experiment_for_micro_doppler.pdf
Final Published Version
License: Creative Commons Attribution 3.0 logo

Download (2MB) | Preview

Abstract

The ability to discriminate between Ballistic Missile warheads and confusing objects is an important topic from different points of view. In particular, the high cost of the interceptors with respect to tactical missiles may lead to an ammunition problem. Moreover, since the time interval in which the defence system can intercept the missile is very short with respect to target velocities, it is fundamental to minimise the number of shoots per kill. For this reason a reliable technique to classify warheads and confusing objects is required. In the efficient warhead classification system presented in this paper a model and a robust framework is developed, which incorporates different microDoppler based classification techniques. The reliability of the proposed framework is tested on both simulated and real data