Abstract
Essentially, the observed signal of interest is buried under the clutter due to high backscatters in radar or sonar applications. The presence of colored-Gaussian stationary noise (clutter) degrades the traditional beamformers, significantly. A new adaptive beamforming technique is presented here based on the numerical selection of the fractional order. The new method maximizes the fractional domain spectral kurtosis and optimum fractional Fourier domain cyclostationarity of the non-stationary linear chirp signal. This concentrates the desired chirp signal in the optimum time–frequency domain, rejects the clutter, and improves the minimization and convergence of the adaptive mean-squared error beamformer, greatly. Simulation results show that the new method performs well under low signal-to-noise ratio.
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