Weighted Spectral Estimation for Nonuniformly Sampled Radar Signals

C. Lemke and T. Mahr (Germany)


Least squares, frequency estimation, nonuniform sampling, weighted DFT, radar signals.


In this paper, we introduce a novel approach to the spec tral analysis of nonuniformly sampled radar signals. The particularity of our approach compared to similar investi gations is the underlying radar signal which we model as a weighted complex harmonic oscillation. This model cor responds to the radar echo of a moving point reflector that is scanned by a rotating antenna. Taking into account the characteristic of the antenna function, our approach is to es timate the azimuthal position of the reflector first and then apply a Weighted Discrete Fourier Transform (WDFT) to the signal in order to analyze its spectral components. We investigate the performance of our method compared to the Discrete Fourier Transform (DFT) and the traditional se quential processing by means of Monte Carlo simulation and show that the novel approach supplies the best estima tion results.

Important Links:

Go Back