FPGA implementation of fast digital FIR and IIR filters

Abstract

Summary The demand for digital signal processing optimized solutions grows drastically in the modern years, especially in the field of communication and modern signal processing circuits. The finite impulse response (FIR) and an infinite impulse response (IIR) filters play a crucial role in the design of any complex signal processing system. This paper exemplifies the conventional moving average (MA) FIR filters, fast MA FIR filters using look‐ahead arithmetic, the conventional IIR filters using combination of integrator and comb sections (CIC) method, and the fast IIR filters using look‐ahead arithmetic in detail. Altera EP4CE115F29C7 field‐programmable gate array (FPGA) device using Quartus II 13.1 synthesis tool has been used to implement these filters. The performance metrics like the number of Logic Elements (LEs), the performance, and the power immoderation simulation results are compared with the normal and fast MA FIR and IIR filters, respectively. The first‐order IIR conventional filter has 153.4 MHz performance shown in simulation result, the same filter with look‐ahead level 1 has 189.79 MHz performance, and the fast filter with level 2 has 199.96 MHz performance. In addition, with the MA FIR filters, an 8‐tap MA FIR filter using CIC method has 166.09 MHz performance, the same filter using look‐ahead with level 1 has 167.22 MHz performance, and the same filter using look‐ahead with level 2 has 168.56 MHz performance. The proposed FIR and IIR filter is designed efficiently in terms of speed for the application of VLSI signal processing environment.

FPGA Design of a Fourth Order Elliptic IIR Band-Pass Filter Using LabVIEW

“…We calculated the filtered signal output frequency spectrum using Fast Fourier Transform (FFT), as shown in Figure 8. FFT is a fast algorithm used for calculating Discrete Fourier Transform (DFT) [11], which is defined by the equation (6). Applying DFT directly to N European Journal of Science and Technology e-ISSN: 2148-2683 125 data instances is time-consuming since it requires computationally complex calculations (~N 2 ).…”

“…Digital signal processing filters can be implemented using both the infinite impulse response (IIR) or finite impulse response (FIR) approaches [3]. IIR approach is more preferred in practice since it requires less memory, it is easier to implement, and it is faster when compared to the FIR configuration for the same type of filter [4][5][6][7]. IIR filters are often used where a linear phase is not required.…”

Hardware implementation of infinite impulse response anti‐notch filter for exon region identification in eukaryotic genes

“…Recently, a high-speed FPGA implementation of IIR and FIR digital filters was efficiently designed for VLSI signal processing. 23 All the filters reported in this paragraph use either the integer or binary numbers for implementing the IIR filters. Recently, the lattice structures of IIR and FIR filter have been designed and implemented using a floating-point system on FPGA.…”

“…An FPGA implementation of multiplier‐less lattice wave digital comb filter structures 22 was carried out, with high maximum sampling frequency, reduced hardware, and low power dissipation compared with the existing comb filter structures. Recently, a high‐speed FPGA implementation of IIR and FIR digital filters was efficiently designed for VLSI signal processing 23 . All the filters reported in this paragraph use either the integer or binary numbers for implementing the IIR filters.…”

High performance IIR filter implementation on FPGA

“…During last few years, various types of digital filters have been discussed on FPGA environment to measure the area, power and speed. Recently, Seshadri et al [6] have described fast FIR, and IIR filters which are realized by look-ahead arithmetic technique. The designs have successfully validated in FPGA device and achieved a speed of 220 MHz.…”