Abstract
AbstractThis study aims to accurately estimate the target’s motion parameter for constant wave (CW) radar and to reduce the computing complexity. Firstly, the echo signal of CW radar is separated into two sine signals by a novel signal transform, and the frequency of each sine signal is proportional to one of motion parameter for target; then these motion parameters are estimated by the frequency estimation algorithm which is based on chirp-z transform and Fast Fourier Transform (FFT). The statistical character of this method is analyzed and the mean square error of parameter estimation is deduced. The simulation result shows that the proposed method has a low computational cost and high performance close to Cramer-Rao lower bound (CRLB).KeywordsMotion ParameterLinear Frequency ModulationMonte Carlo ExperimentSine SignalLinear Frequency Modulation SignalThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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