Linear FM signal parameter estimation from discrete-time observations
作者： S. Peleg , B. Porat
DOI: 10.1109/7.85033
关键词: Upper and lower bounds 、 Discrete system 、 Estimation theory 、 Frequency modulation 、 Statistics 、 Algorithm 、 Mathematics 、 Fast Fourier transform 、 Discrete time and continuous time 、 Signal-to-noise ratio 、 Monte Carlo method
摘要: The authors consider the problem of estimating parameters a complex linear FM signal from finite number noisy discrete-time observations. An estimation algorithm is proposed, and its asymptotic (large sample) performance analyzed. computationally simple, consisting two fast Fourier transforms (FFTs) accompanied by one-dimensional searches for maxima. variance estimates shown to be close Cramer-Rao lower bound when signal-to-noise ratio 0 dB above. applied kinematic an accelerating target pulse-Doppler radar. A representative test case was used exhibit usefulness this problem, verify analytical results Monte Carlo simulations. >
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