A novel adaptive algorithm using an IIR narrow band filter (NBPF) is presented to detect a single sinusoid corrupted by Gaussian noise. This algorithm is not only computationally efficient but also suitable for VLSI implementation. The derivation of the adaptive algorithm for frequency begins with an autoregressive (AR) model to formulate a constrained-optimization problem. Then, a new algorithm for frequency detection is derived via the method of Lagrange multiplier. MATLAB simulation shows that our approach has good tracking ability and noise reduction. Finally, a high speed VLSI architecture is designed and implemented according to the proposed algorithm. After hardware simulation, the chip area and clock rate of the whole architecture is 1804/spl times/1804 /spl mu/m/sup 2/ and 75 MHz respectively using 0.35 /spl mu/m COMS 1P4M technology.
展开▼
机译：提出了一种使用IIR窄带滤波器（NBPF）的新型自适应算法来检测被高斯噪声破坏的单个正弦波。该算法不仅计算效率高，而且适用于VLSI实现。频率自适应算法的推导从自回归（AR）模型开始，以制定约束优化问题。然后，通过拉格朗日乘数法推导了一种新的频率检测算法。 MATLAB仿真表明，该方法具有良好的跟踪能力和降噪性能。最后，根据所提出的算法设计并实现了一种高速VLSI架构。经过硬件仿真，采用0.35 / spl mu / m COMS 1P4M技术，整个架构的芯片面积和时钟速率分别为1804 / spl倍/ 1804 / spl mu / m / sup 2 /和75 MHz。
展开▼
