Theoretical analysis of the sequential lobing technique for correlated targets. Issue 4 (1st April 2013)

• Record Type: Journal Article
• Authors: Cui, Guolong; De Maio, Antonio; Pallotta, Luca; Farina, Alfonso
• Is Part Of: IET radar, sonar & navigation. Volume 7:Issue 4(2013)
• Page Start: 443
• Page End: 450
• Publication Date: 2013-04-01
• Subjects: mean square error methods -- Monte Carlo methods -- radar tracking -- target tracking; sequential lobing technique -- correlated targets -- performance analysis -- angle tracking -- correlated fluctuating targets -- conventional incoherent receiver -- logarithmic amplifier -- beam positions -- correlated random variables -- normalised root mean square error -- angular estimate -- Swerling I target fluctuation -- signal‐to‐noise ratio -- probability density function -- Monte Carlo techniques -- correlation coefficient; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2012.0254
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : This study is focused on the performance analysis of the sequential lobing technique for angle tracking in the presence of correlated fluctuating targets. The evaluation is conducted on the signal at the output of a conventional incoherent receiver followed by a logarithmic amplifier, assuming that the target returns at the two beam positions are correlated random variables. The general expression of the normalised root mean square error of the angular estimate is derived. Then, it is particularised to Swerling I target fluctuation at each of the beam positions. Additionally, assuming high signal‐to‐noise ratio, the probability density function of the angular estimate is provided. Finally, using Monte Carlo techniques, several numerical results are given and the effects of typical values of the correlation coefficient are discussed.