Quarter-Rate Implementation of an 1 GSPS 128 Tap FIR Structure used as Cross-correlator in UWB Communication

T. Chakraborty, S. Chakrabarti
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Abstract

Finite impulse response (FIR) filters are widely used in many applications involving signal processing algorithms. The FIR can also be used as a convolver or as a cross-correlator due to its structural similarity. In general the problem with the hardware implementation of FIR is mainly the area complexity and this is much prominent if the number of taps is pretty large. For high throughput application, like UWB communication, the designer is forced to go for parallel-pipelined design and this increases the complexity many fold. Parallel architecture is required not only to meet the stringent throughput requirement but also to save power consumption. However an L level parallelization typically increases the number of computations (multiplications + additions) by L times compared to a single level FIR architecture. This increases the area complexity around L times. Typically the area complexity of multiplier is much more than an adder. A significant amount of research work has been conducted to reduce the multiplication complexity of FIR architecture. In this paper we present an adder-tree based multiplier block parallel FIR architecture which reduces the multiplication complexity in many fold compared to standard multiplier based or Canonic Signed Digit (CSD) based multiplier architecture. We also present a simple way of forming the exhaustive adder-tree multiplier block.
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1 GSPS 128分接FIR结构在超宽带通信中作为交叉相关器的四分之一速率实现
有限脉冲响应(FIR)滤波器广泛应用于许多涉及信号处理算法的应用中。由于其结构相似性,FIR也可以用作卷积器或交叉相关器。一般来说,FIR硬件实现的问题主要是区域复杂性,如果抽头数量非常大,这个问题就会非常突出。对于高吞吐量应用,如UWB通信,设计人员被迫采用并行流水线设计,这使复杂性增加了许多倍。并行架构不仅要满足严格的吞吐量要求,而且要节省功耗。然而,与单级FIR体系结构相比,L级并行化通常会将计算次数(乘法+加法)增加L倍。这增加了大约L倍的面积复杂度。通常,乘法器的面积复杂度要比加法器大得多。为了降低FIR结构的乘法复杂度,已经进行了大量的研究工作。本文提出了一种基于加法器树的乘法器块并行FIR结构,与基于标准乘法器或基于经典签名数(CSD)的乘法器结构相比,该结构将乘法复杂度降低了许多倍。我们还提出了一种形成穷举加树乘法器块的简单方法。
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