Peak picking losses in radar detectors

Yildirim A., Efe M., Ozdemir A.

5th IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, 18 - 21 December 2005, pp.136-140, (Full Text) identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/isspit.2005.1577084
  • City: Athens
  • Country: Greece
  • Page Numbers: pp.136-140
  • Keywords: peak picking loss, extended targets, over-resolved targets, radar signal processing, histogram based probabilistic target detectors and trackers, maximum likelihood estimator, nonhomogenous Poisson process
  • Ankara University Affiliated: Yes

Abstract

In this paper we analyze the peak picking losses induced by conventional radar signal processors, which assume a point target model for defection and tracking. As demonstrated through simulations, the performance degradation under the point target assumption can be significant for high-resolulion radars, where targets extend across several detection cells. lnterpolation of nearby data around the defected peak provides only a slight improvement. This paper presents a maximum likelihood estimator (ARE) to reduce the peak picking losses. By comparing the variance of the estimator with the Cramer Rao lower bound derived in this paper, it has been shown that the maximum likelihood estimator significantly reduces peak picking losses.