Subcanceller: adaptive generalised sidelobe canceller with optimum subband decomposition

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Subcanceller: adaptive generalised sidelobe canceller with optimum subband decomposition

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Published

This paper presents a subband beamformer with the generalised sidelobe canceller (GSC) as the underlying structure. This new beamformer, referred to as the subcanceller, determines the statistically optimum filter bank succeeding the blocking matrix of the GSC based on the minimum mean-square error criterion. As a consequence, the signals passing through the lower branch of the GSC are decomposed into more appropriate subband components by such filter banks according to the input data statistics to enhance the interference suppression capability. The determination of the filter bank coefficients, however, calls for computationally demanding nonlinear optimisation. To alleviate the computational overhead, an iterative procedure is also proposed, which solves the Rayleigh quotient in each iteration. Furthermore, a detailed performance analysis of the proposed beamformer is conducted, which includes the development expression of the output signal to interference-plus-noise ratio and its implications, and the analysis of the convergence characteristic. Furnished simulations show that the new scheme yields superior interference suppression performance with a faster convergence rate compared with previous studies.

Inspec keywords: interference suppression; adaptive signal processing; iterative methods; mean square error methods; channel bank filters

Other keywords: minimum mean-square error criterion; Rayleigh quotient; adaptive generalised sidelobe canceller; iterative procedure; subband beamformer; optimum subband decomposition; output signal to interference-plus-noise ratio; interference suppression; statistically optimum filter bank

Subjects: Electromagnetic compatibility and interference; Interpolation and function approximation (numerical analysis); Filtering methods in signal processing

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