TY - GEN
T1 - A RCS model of complex targets for radar performance prediction
AU - Väilä, Minna
AU - Jylhä, Juha
AU - Väisänen, Ville
AU - Perälä, Henna
AU - Visa, Ari
AU - Harju, Mikko
AU - Virtanen, Kai
PY - 2017/5/8
Y1 - 2017/5/8
N2 - The objective of the radar performance prediction is to compute quantities of interest concerning the ability of the radar to observe its surroundings. Besides the properties of the radar system, the performance is affected by the target, whose radar cross section (RCS) is one of the predominant factors. The performance prediction is usually performed in relation to the target RCS characterized by a constant value or a particular statistical distribution. Such representations generalize real-life complex targets rendering them unsuitable for some objectives since the RCS is significantly influenced by the target aspect angle and is inherently stochastic by nature. Thus, a more dynamic description may be valuable e.g. for analyzing the radar performance on a flight path of interest. We propose representing the RCS with a histogram that includes such dynamic properties and is suitable for considering the target in different ways for performance prediction: in a more general manner or dependent on its aspect angle. We consider the case of traditional RCS with low spatial resolution and demonstrate the proposed approach through the probability of detection computed for a generic surveillance radar.
AB - The objective of the radar performance prediction is to compute quantities of interest concerning the ability of the radar to observe its surroundings. Besides the properties of the radar system, the performance is affected by the target, whose radar cross section (RCS) is one of the predominant factors. The performance prediction is usually performed in relation to the target RCS characterized by a constant value or a particular statistical distribution. Such representations generalize real-life complex targets rendering them unsuitable for some objectives since the RCS is significantly influenced by the target aspect angle and is inherently stochastic by nature. Thus, a more dynamic description may be valuable e.g. for analyzing the radar performance on a flight path of interest. We propose representing the RCS with a histogram that includes such dynamic properties and is suitable for considering the target in different ways for performance prediction: in a more general manner or dependent on its aspect angle. We consider the case of traditional RCS with low spatial resolution and demonstrate the proposed approach through the probability of detection computed for a generic surveillance radar.
KW - Radar cross-sections
KW - Histograms
KW - Predictive models
KW - Aircraft
KW - Computational modeling
KW - Probability
U2 - 10.1109/RADAR.2017.7944241
DO - 10.1109/RADAR.2017.7944241
M3 - Conference contribution
SN - 978-1-4673-8824-5
SP - 430
EP - 435
BT - 2017 IEEE Radar Conference (RadarConf)
PB - IEEE
CY - Seattle, WA, USA
ER -