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Performance Analysis of Range and Velocity Measurement Algorithm for Multi-Function Radar using Discriminator Estimation Method  

Choi Beyung Gwan (Agency for Defense Development)
Lee Bum Suk (Agency for Defense Development)
Kim Whan Woo (Division of Electrical and Computer Engineering, Chungnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.1, 2005 , pp. 109-117 More about this Journal
Abstract
Range and velocity measurement algorithm is a procedure for estimating the accurate target position by using matched filter outputs equally spaced both in range and doppler frequency domain. Especially, in measurement algorithm for multi-function radar, it is necessary to consider processing time as well as accuracy in order to track multi-targets simultaneously. In this paper, we analyze range and velocity measurement algorithm using discriminator estimation method which is a technique applied to angle measurement of monopulse radar. The applied method required constant processing time for estimation can be used in multiple target tacking. But, it is necessary to consider measurement accuracy because of using minimum channel outputs for estimation. In the simulation, we show that the applied method is superior to the traditional gravity center measurement algorithm with respect to the accuracy performance and also analyze the characteristics of the proposed technique by calculating RMS error level as the processing parameters such as pulse width , channel step, etc. change.
Keywords
Measurement algorithm; Discriminator; Multi-function radar;
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