Low Complexity Multiplierless Welch Estimator Based on Memory-Based FFT

This paper proposes a novel hardware efficient low power Welch power spectral density (PSD) estimator. The presented multiplier-less hardware uses a combined coefficient selection and shift-and-add implementation (CCSSI) unit in order to prevent multiplications in FFT computation. Two filtering operations, which are implemented in folded architecture, are utilized. The micro-rotation resources of the CCSSI unit can be shared with estimator's modules simultaneously. The proposed architecture is a nonparametric estimator that operates based on a modified, memory-based, 128-point scalable radix-22 FFT processor. It uses bidirectional fractional delay filter to estimate half delay sample in merging two FFTs. Using modified safe-scaling, the final output would be valid, without any averaging operation. Another important feature of the proposed method is its capability of operating in short word lengths (WL). Artix-7, as an ideal option for DSP applications, is the utilized FPGA in this research. As results demonstrate, the hardware has a high capability in operating in short WLs which results in high performance in low-power applications.

Automated summary

This paper proposes a novel hardware efficient low-power Welch power spectral density estimator. The presented architecture features a multiplier-less hardware and a combined coefficient selection and shift-and-add implementation to prevent multiplications. It operates as a nonparametric estimator and can work in short word lengths, providing high performance and valid output.