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Minimum Bias (MB) tapers were introduced as spatial preprocessing filters in [l]. These tapers are characterized by their orthonormality. simplicity and, most importantly their close behavior to the well known discrete prolate spheroidal sequence (DPSS) windows. The MB tapers can be well approximated by simple trigonometrical functions. These functions have expressions identical to that of the Discrete Sinusoidal Transform (DST). As numerous methods for fast compurxtions of DST have been devised. the outputs of the approximated MB tapers can be computed efficiently. It is also shown that these tapers retain most of their properties when applying stopband linear constraints to null interferers over a given spatial sector. The paper discusses the computational advantages of using approximated MB tapers and their application in conjunction with desired constraints.

Spatial Filtering For Angle-of-arrival Estimation Using Co Computationally Efficient Trigonometric Low Bias Tapers