6 research outputs found

    Novel Area Optimization in FPGA Implementation Using Efficient VHDL Code

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    A new novel method for area efficiency in FPGA implementation is presented. The method is realized through flexibility and wide capability of VHDL coding. This method exposes the arithmetic operations such as addition, subtraction and others. The design technique aim to reduce occupies area for multi stages circuits by selecting suitable range of all value involved in every step of calculations. Conventional and efficient VHDL coding methods are presented and the synthesis result is compared. The VHDL code which limits range of integer values is occupies less area than the one which is not. This VHDL coding method is suitable for multi stage circuits

    FPGA Implementation of a Clockless Stochastic LDPC Decoder

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    This thesis presents a clockless stochastic low-density parity-check (LDPC) decoder implemented on a Field-Programmable Gate Array (FPGA). Stochastic computing reduces the wiring complexity necessary for decoding by replacing operations such as multiplication and division with simple logic gates. Clockless decoding increases the throughput of the decoder by eliminating the requirement for node signals to be synchronized after each decoding cycle. With this partial-update algorithm the decoder’s speed is limited by the average wire delay of the interleaver rather than the worst-case delay. This type of decoder has been simulated in the past but not implemented on silicon. The design is implemented on an ALTERA Stratix IV EP4SGX230 FPGA and the frame error rate (FER) performance, throughput and power consumption are presented for (96,48) and (204,102) decoders

    A survey of FPGA-based LDPC decoders

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    Low-Density Parity Check (LDPC) error correction decoders have become popular in communications systems, as a benefit of their strong error correction performance and their suitability to parallel hardware implementation. A great deal of research effort has been invested into LDPC decoder designs that exploit the flexibility, the high processing speed and the parallelism of Field-Programmable Gate Array (FPGA) devices. FPGAs are ideal for design prototyping and for the manufacturing of small-production-run devices, where their in-system programmability makes them far more cost-effective than Application-Specific Integrated Circuits (ASICs). However, the FPGA-based LDPC decoder designs published in the open literature vary greatly in terms of design choices and performance criteria, making them a challenge to compare. This paper explores the key factors involved in FPGA-based LDPC decoder design and presents an extensive review of the current literature. In-depth comparisons are drawn amongst 140 published designs (both academic and industrial) and the associated performance trade-offs are characterised, discussed and illustrated. Seven key performance characteristics are described, namely their processing throughput, latency, hardware resource requirements, error correction capability, processing energy efficiency, bandwidth efficiency and flexibility. We offer recommendations that will facilitate fairer comparisons of future designs, as well as opportunities for improving the design of FPGA-based LDPC decoder

    An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding

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    Power Characterization of a Digit-Online FPGA Implementation of a Low-Density Parity-Check Decoder for WiMAX Applications

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    Low-density parity-check (LDPC) codes are a class of easily decodable error-correcting codes. Published parallel LDPC decoders demonstrate high throughput and low energy-per-bit but require a lot of silicon area. Decoders based on digit-online arithmetic (processing several bits per fundamental operation) process messages in a digit-serial fashion, reducing the area requirements, and can process multiple frames in frame-interlaced fashion. Implementations on Field-Programmable Gate Array (FPGA) are usually power- and area-hungry, but provide flexibility compared with application-specific integrated circuit implementations. With the penetration of mobile devices in the electronics industry the power considerations have become increasingly important. The power consumption of a digit-online decoder depends on various factors, like input log-likelihood ratio (LLR) bit precision, signal-to-noise ratio (SNR) and maximum number of iterations. The design is implemented on an Altera Stratix IV GX EP4SGX230 FPGA, which comes on an Altera DE4 Development and Education Board. In this work, both parallel and digit-online block LDPC decoder implementations on FPGAs for WiMAX 576-bit, rate-3/4 codes are studied, and power measurements from the DE4 board are reported. Various components of the system include a random-data generator, WiMAX Encoder, shift-out register, additive white Gaussian noise (AWGN) generator, channel LLR buffer, WiMAX Decoder and bit-error rate (BER) Calculator. The random-data generator outputs pseudo-random bit patterns through an implemented linear-feedback shift register (LFSR). Digit-online decoders with input LLR precisions ranging from 6 to 13 bits and parallel decoders with input LLR precisions ranging from 3 to 6 bits are synthesized in a Stratix IV FPGA. The digit-online decoders can be clocked at higher frequency for higher LLR precisions. A digit-online decoder can be used to decode two frames simultaneously in frame-interlaced mode. For the 6-bit implementation of digit-online decoder in single-frame mode, the minimum throughput achieved is 740 Mb/s at low SNRs. For the case of 11-bit LLR digit-online decoder in frame-interlaced mode, the minimum throughput achieved is 1363 Mb/s. Detailed analysis such as effect of SNR and LLR precision on decoder power is presented. Also, the effect of changing LLR precision on max clock frequency and logic utilization on the parallel and the digit-online decoders is studied. Alongside, power per iteration for a 6-bit LLR input digit-online decoder is also reported
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