Estimation of radar cross section of a target under track

Authors:
Young-Hun Jung;Sun-Mog Hong;Seung Ho Choi
Affiliations:
Agency for Defense Development, Daejeon, Republic of Korea;School of EE, Kyungpook National University, Daegu, Republic of Korea;Department of EIE, Seoul National University of Technology, Seoul, Republic of Korea
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2010

Citing 2
Cited 0

A combined PMHT and IMM approach to multiple-point target tracking in infrared image sequence

Journal on Image and Video Processing
On sequential track extraction within the PMHT framework

EURASIP Journal on Advances in Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In allocating radar beam for tracking a target, it is attempted to maintain the signal-to-noise ratio (SNR) of signal returning from the illuminated target close to an optimum value for efficient track updates. An estimate of the average radar cross section (RCS) of the target is required in order to adjust transmitted power based on the estimate such that a desired SNR can be realized. In this paper, a maximum-likelihood (ML) approach is presented for estimating the average RCS, and a numerical solution to the approach is proposed based on a generalized expectation maximization (GEM) algorithm. Estimation accuracy of the approach is compared to that of a previously reported procedure.