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http://dx.doi.org/10.5515/KJKIEES.2014.25.12.1275

Maximum Likelihood Based Doppler Estimation and Target Detection with Pulse Code Modulated Waveform  

Yang, Eunjung (Agency for Defense Development)
Lee, Heeyoung (Agency for Defense Development)
Song, Junho (Agency for Defense Development)
Publication Information
Abstract
Characteristics of PCM(Pulse Code Modulation) waveform are suitable for target tracking. Especially in terms of dwell time, it is desirable to detect and track a moving target with the single PCM waveform for a MFR(Multi-Function Radar) which carries out multiple tasks. General PCM waveform processing includes Doppler filter bank caused by the characteristics of ambiguity function, to detect target and estimate Doppler frequency, which induces hardware burden and computational complexity. We propose a ML(Maximum Likelihood) based Doppler estimator for a PCM waveform, which is the closed form suboptimal solution and computationally efficient to estimate Doppler frequency and detect a moving target.
Keywords
Pulse Code Modulation Waveform; Doppler Frequency Estimation; Multi-Function Radar; Target Detection;
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