基于子项共享技术的低功耗FIR滤波器设计方法研究

FIR滤波器广泛地应用于携式电子产品，如助听器，手机，便携式心电图测量仪等。为了提高这些便携式电子产品的待机时间，降低FIR滤波器的功耗变得尤为重要。现有的低功耗FIR滤波器设计研究主要集中于如何降低滤波器硬件实现所需的加法器个数。 然而，滤波器的功耗不仅与加法器的数目相关而且与加法器的逻辑深度也非常相关。因此，本项目首先拟研究建立一个新型的功耗模型， 其能综合反映加法器个数以及其逻辑深度对功耗的影响。然后，以功耗指标作为的目标函数，运用子项共享与滤波器离散系数设计相结合算法搜索出最低功耗的FIR滤波器系数组以及相应的加法-移位网络。此外，由于多级结构FIR滤波器具有低功耗特征，本项目还将研究如何设计多级结构的低功耗FIR滤波器。

Digital finite impulse response (FIR) filters are essential components in the portable digital devices such as hearing-aid, cellphone, and portable ECG measuring instrument. In order to save the cost and increase battery life for these portable digital products, it is necessary to design FIR filter with low power consumption. Existing algorithms mainly focus on how to reduce the adder cost of FIR filter. However, the power consumption of FIR filter is not only related to the adder cost but also the adder depth. Therefore, this project firstly will build a power model of FIR filter which could take both adder cost and logic depth into account; then this power model will be incorporated into the filter coefficient optimization process to guide the search program to find a coefficient set with lowest power consumption. Besides that, the existing single-stage FIR design method will be extended to design multiple-stage FIR filters for the further reduction of the power consumption.