To eliminate the influence of negative frequency component of a real sinusoid signal on the frequency estimation, a real-to-complex-transformation frequency estimation algorithm based on iterative interpolation was proposed.The sampled signal frequency was pre-estimated, the reference signal was constructed and the orthogonal component of the sampled signal was obtained through 90 degree phase shift.Then, the sampled signal and its orthogonal component were synthesized into a complex signal to realize the real-to-complex-transformation, and the influence of the negative frequency component was thus suppressed.On this basis the complex signal frequency was estimated by using an iterative interpolation algorithm, the reference signal and orthogonal component and complex signal were rebuilt, and the exact frequency value was identified by estimating the frequency of the complex signal.The results of simulation experiments indicate that the proposed algorithm eliminates the influence of negative frequency components, improves the anti-interference property and estimation accuracy.The root mean square errors of the frequency estimation are closer to the Cramer-Rao lower bound (CRLB).Moreover, the efficacy of the proposed method was validated by measurement experiments on LFMCW radars.
Key words
negative frequency components /
real-to-complex-transformation /
frequency estimation /
iterative interpolation /
LFMCW radars
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