A New Design Method for Variable Digital Filter Based on Field Programmable Gate Array(FPGA)

In order to obtain variable characteristics,the digital filter's type,number of taps and coefficients should be changed constantly such that the desired frequency-domain characteristics can be obtained.This paper proposes a method for self-programmable variable digital filter(VDF) design based on field programmable gate array(FPGA).We implement a digital filter system by using custom embedded micro-processor,programmable finite impulse response(P-FIR) macro module,coefficient-loader,clock manager and analog/digital(A/D) or digital/analog(D/A) controller and other modules.The self-programmable VDF can provide the best solution for realization of digital filter algorithms,which are the low-pass,high-pass,band-pass and band-stop filter algorithms with variable frequency domain characteristics.The design examples with minimum 1 to maximum 32 taps FIR filter,based on Modelsim post-routed simulation and onboard running on XUPV5-LX110T,are provided to demonstrate the effectiveness of the proposed method.

Synthesis of Nonlinear Control of Switching Topologies of Buck-Boost Converter Using Fuzzy Logic on Field Programmable Gate Array (FPGA)

An intelligent fuzzy logic inference pipeline for the control of a dc-dc buck-boost converter was designed and built using a semi-custom VLSI chip. The fuzzy linguistics describing the switching topologies of the converter was mapped into a look-up table that was synthesized into a set of Boolean equations. A VLSI chip–a field programmable gate array (FPGA) was used to implement the Boolean equations. Features include the size of RAM chip independent of number of rules in the knowledge base, on-chip fuzzification and defuzzification, faster response with speeds over giga fuzzy logic inferences per sec (FLIPS), and an inexpensive VLSI chip. The key application areas are: 1) on-chip integrated controllers;and 2) on-chip co-integration for entire system of sensors, circuits, controllers, and detectors for building complete instrument systems.

Fault Prediction and Diagnosis of Warship Equipment Field Programmable Gate Array Software

In order to solve the current high failure rate of warship equipment field programmable gate array( FPGA) software,fault detection is not timely enough and FPGA detection equipment is expensive and so on. After in-depth research,this paper proposes a warship equipment FPGA software based on Xilinx integrated development environment( ISE) and ModelSim software.Functional simulation and timing simulation to verify the correctness of the logic design of the FPGA,this method is very convenient to view the signal waveform inside the FPGA program to help FPGA test engineers to achieve FPGA fault prediction and diagnosis. This test method has important engineering significance for the upgrading of warship equipment.

MIXED-GRAINED CMOS FIELD PROGRAMMABLE ANALOG ARRAY FOR SMART SENSORY APPLICATIONS

The drive towards shorter design cycles for analog integrated circuits has given impetus to the development of Field Programmable Analog Arrays(FPAAs),which are the analogue counterparts of Field Programmable Gate Arrays(FPGAs).In this paper,we present a new design methodology which using FPAA as a powerful analog front-end processing platform in the smart sensory microsystem.The proposed FPAA contains 16 homogeneous mixed-grained Configurable Analog Blocks(CABs) which house a variety of processing elements especially the proposed fine-grained Core Configurable Amplifiers(CCAs).The high flexible CABs allow the FPAA operating in both continuous-time and discrete-time approaches suitable to support variety of sensors.To reduce the nonideal parasitic effects and save area,the fat-tree interconnection network is adopted in this FPAA.The functionality of this FPAA is demonstrated through embedding of voltage and capacitive sensor signal readout circuits and a configurable band pass filter.The minimal detectable voltage and capacitor achieves 38 uV and 8.3 aF respectively within 100 Hz sensor bandwidth.The power consumption comparison of CCA in three applications shows that the FPAA has high power efficiency.And the simulation results also show that the FPAA has good tolerance with wide PVT variations.

FPGA-Based Efficient Programmable Polyphase FIR Filter

The modelling, design and implementation of a high-speed programmable polyphase finite impulse response (FIR) filter with field programmable gate array (FPGA) technology are described. This FIR filter can run automatically according to the programmable configuration word including symmetry/asymmetry, odd/even taps, from 32 taps up to 256 taps. The filter with 12 bit signal and 12 bit coefficient word-length has been realized on a Xilinx VirtexⅡ-v1500 device and operates at the maximum sampling frequency of (160 MHz.)

Machine learning algorithm partially reconfigured on FPGA for an image edge detection system

Unmanned aerial vehicles(UAVs)have been widely used in military,medical,wireless communications,aerial surveillance,etc.One key topic involving UAVs is pose estimation in autonomous navigation.A standard procedure for this process is to combine inertial navigation system sensor information with the global navigation satellite system(GNSS)signal.However,some factors can interfere with the GNSS signal,such as ionospheric scintillation,jamming,or spoofing.One alternative method to avoid using the GNSS signal is to apply an image processing approach by matching UAV images with georeferenced images.But a high effort is required for image edge extraction.Here a support vector regression(SVR)model is proposed to reduce this computational load and processing time.The dynamic partial reconfiguration(DPR)of part of the SVR datapath is implemented to accelerate the process,reduce the area,and analyze its granularity by increasing the grain size of the reconfigurable region.Results show that the implementation in hardware is 68 times faster than that in software.This architecture with DPR also facilitates the low power consumption of 4 mW,leading to a reduction of 57%than that without DPR.This is also the lowest power consumption in current machine learning hardware implementations.Besides,the circuitry area is 41 times smaller.SVR with Gaussian kernel shows a success rate of 99.18%and minimum square error of 0.0146 for testing with the planning trajectory.This system is useful for adaptive applications where the user/designer can modify/reconfigure the hardware layout during its application,thus contributing to lower power consumption,smaller hardware area,and shorter execution time.

基于RISC-V架构的行人定位SoC系统设计

行人定位方法中,捷联式惯导定位系统需要处理惯性测量单元(IMU)传感器的数据,通过算法处理后得到行人的位置,因此对于芯片实时性以及低功耗有很高的要求。由于行人定位算法大多基于浮点传感器数据开发,一般要求终端设备能够处理浮点数据。第五代精简指令集(RISC-V)架构作为一种开源架构,能节约架构授权费,在物联网领域有着广泛应用,并且其浮点(F)和向量(V)等高性能扩展指令能够很好地满足行人定位算法对实时性的要求。针对行人定位系统的特定性能要求,提出了一种基于浮点内核向量处理器优化RISC-V架构的行人定位片上系统(SoC),并在实际系统中进行验证。与多个准32位架构RISC-V处理器以及高层次综合组件(HLS)生成的算法专用IP(locate_IP)的标准处理器方案的性能对比分析表明,该设计实现了34倍的性能提升以及5.6倍的能效提升,满足了微终端的要求。

GJB 5000B在FPGA工程中的应用分析

为引入软件工程化管理办法对设计开发实践实施管理,结合GJB 5000B体系要求,对现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)的设计开发流程和GJB 5000B的工程实践要求进行梳理、比对和分析,并提出一套FPGA开发管理在GJB 5000B推进实践中的实施办法。研究成果可为GJB 5000B在FPGA工程中的应用提供一定参考。

基于SoC FPGA的心电信号检测系统设计

设计实现了一种基于片上系统现场可编程门阵列(So C FPGA)的心电信号(ECG)检测系统。系统通过具有高输入阻抗、高共模抑制比和低噪声的前置采集放大电路,实现心电信号的拾取和预处理。通过基于So C FPGA的硬件平台和移植的嵌入式Linux开发环境的软硬协同设计方式,完成了心电信号的A/D转换、VGA显示、Micro SD卡数据存储和心电信号算法处理,能够对心电信号进行小波分析和QRS波检测,实现了对心电信号的采集、显示、存储和处理。

基于FPGA面向多媒体处理的MPSoC

针对嵌入式单核处理器处理速度慢及主频提升受限等问题,提出了嵌入式双核处理器(two-cores embedded processor,TEP)模型.针对处理器运行时对存储器的依赖和分配问题,提出了基于非统一存储结构模拟分布式存储结构的方案;针对多核间对共享数据存储器的访存问题,给出了从属单元的仲裁机制,实现了共享资源的访问;针对面向多媒体应用的多核处理器间传输数据量大及通讯开销高的问题,提出了基于消息数据分离的传输方案.系统在FPGA平台进行了实现和验证,测试结果表明,TEP系统以较少的资源消耗和通讯开销获得了大加速比的性能.

基于SoC FPGA硬件并行化计算的配电网电压控制技术

随着主动配电网以及物联网技术的发展,无功设备的接入呈现复杂化和边缘化趋势,电压控制的相关计算也向边缘计算发展。由于算力受限,边缘终端纯软件式的计算所需时间较长,无法满足控制的实时性要求。针对此问题,文中提出一种基于片上系统现场可编程门阵列(SoC FPGA)硬件并行化计算的配电网电压控制策略。首先,设计基于SoC FPGA的软硬件计算框架;然后,对配电网电压控制模型及遗传算法求解方法做出适用于FPGA计算的针对性改进;最后,分模块设计FPGA硬件求解结构。算例场景验证表明,相比于边缘终端纯软件式的求解方式,文中所提策略在电压越下限、电压越上限场景的平均求解效率分别提高了2.41倍和2.15倍,可有效提升电压控制的实时性。

Design and verification of an FPGA programmable logic element based on Sense-Switch pFLASH

This paper proposes a kind of programmable logic element(PLE)based on Sense-Switch pFLASH technology.By programming Sense-Switch pFLASH,all three-bit look-up table(LUT3)functions,partial four-bit look-up table(LUT4)functions,latch functions,and d flip flop(DFF)with enable and reset functions can be realized.Because PLE uses a choice of operational logic(COOL)approach for the operation of logic functions,it allows any logic circuit to be implemented at any ratio of combinatorial logic to register.This intrinsic property makes it close to the basic application specific integrated circuit(ASIC)cell in terms of fine granularity,thus allowing ASIC-like cell-based mappers to apply all their optimization potential.By measuring Sense-Switch pFLASH and PLE circuits,the results show that the“on”state driving current of the Sense-Switch pFLASH is about 245.52μA,and that the“off”state leakage current is about 0.1 pA.The programmable function of PLE works normally.The delay of the typical combinatorial logic operation AND3 is 0.69 ns,and the delay of the sequential logic operation DFF is 0.65 ns,both of which meet the requirements of the design technical index.

基于JESD204B协议的智能信号处理SoC中自适应缓冲结构

JESD204B(简称204B)是智能信号处理系统级芯片(SoC)中连接高速模数/数模(AD/DA)转换的重要接口,将SoC系统结构与204B标准要求进行集成设计时,自适应缓冲结构(ABS)可弥补204B协议对数据传输缺乏流量控制的缺陷,并通过设置自适应缓冲与流控机制,保证数据传输的可靠性。经过现场可编程门阵列(FPGA)验证,SoC在204B接口可以达到4×12.5 Gbit/s的数据传输带宽,证明设计的204B接口方案在智能信号处理SoC中的可行性和有效性,满足智能信号处理SoC对于数据接口的要求。该设计方案的实现对无流量控制数据传输协议与SoC体系结构的集成有借鉴意义。

基于Cortex-M3的汉盲翻译SoC设计

汉盲翻译是一种将中文文本自动翻译为对应的盲文数据的过程.在嵌入式环境下,汉盲翻译的速度较慢,难以达到复杂环境下的实时性需求.为此设计出专用的汉盲翻译IP核,通过实现逆向最大匹配分词算法、汉盲转换,最终得到准确的盲文数据.为了验证设计的合理性,以Cortex-M3为微处理器构建SoC,搭载串口、LCD驱动和汉盲翻译IP核,并使用FPGA实验平台进行功能验证和性能测试.测试结果表明,该SoC可准确进行汉盲翻译,翻译速度达5 079.37 B/s.

基于FPGA的动态部分可重构智能I/O接口设计与实现

由ASIC芯片实现的总线接口中,存在装备计算机配置冗杂、软硬件升级不灵活、芯片垄断和停产、体积功耗瓶颈日趋明显等问题。为此,基于Xilinx公司的ZYNQ-7000系列现场可编程门阵列,设计部分可重构的智能I/O接口。采用可编程片上系统技术,基于Vivado2014.4和Peta Linux开发环境和开发工具,以RS232,RS422,CAN总线接口为例,通过TCP/IP网络数据包切换总线接口配置指令,动态切换对应的局部比特流文件,以按需通信方式实现各接口的实际配置。仿真实验结果表明,部分可重构技术与片上系统技术的结合使得产品设计流程更加灵活,可降低产品对硬件的依赖度和更新换代的成本,减小资源和功耗的消耗,在一定程度上提升产品的安全性及可靠性。

基于DSP与FPGA的变流器通用控制平台研究

提出一种基于DSP和现场可编程门阵列(FPGA)双CPU结构的新型变流器控制系统方案,其中DSP完成变流器控制策略的实现,主要包括:最大功率点跟踪、电压电流双闭环控制、低电压穿越控制、通信功能;FPGA完成三相锁相环控制、AD芯片采样控制、SVPWM波形控制、逻辑输出控制以及各类故障信号检测与停机保护功能,并采用了基于WIFI模块的风电故障信息传输系统。以双馈风电变流器为模型,设计了双馈风力发电变流器系统,完成了两电平与三电平SVPWM控制算法的FPGA实现。最后在自主研发的1.5 MW,2 MW双馈式变流器样机与光伏逆变器样机上进行了大量实验和长期的现场试运行,验证了控制系统平台的可行性与实用性。

Development of a Wireless Capsule Endoscope System Based on Field Programmable Gate Array

A new modular and programmable wireless capsule endoscope is presented in this paper. The capsule system consumes low power and has small physical size. A new image compression algorithm is presented in this paper to reduce power consumption and silicon area. The compression algorithm includes color space transform, uniform quantization, sub-sampling, differential pulse code modulation (DPCM) and Golomb-Rice code. The algorithm is tested in a field programmable gate array (FPGA) development board, and the final result achieves 80% compression rate at 40 dB peak signal to noise ratio (PSNR). The algorithm has high image compression efficiency and low power consumption, compared to other existing works. The system is composed of the following three parts: image capsule endoscope, portable wireless receiver and host computer software. The software and hardware design of the three parts are disscussed in details. © 2017, Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg.

SRAM型FPGA单粒子辐照试验系统技术研究

单粒子辐射效应严重制约FPGA的空间应用,为提高FPGA在辐射环境中的可靠性,深入研究抗辐射加固FPGA单粒子效应评估方法,设计优化单粒子效应评估方案,开发相应的评估系统,提出基于SRAM时序修正的码流存储比较技术和基于SelectMAP端口配置回读技术。借助国内高能量大注量率的辐照试验环境,完成FPGA单粒子翻转(SEU)、单粒子闩锁(SEL)和单粒子功能中断(SEFI)等单粒子效应的检测,试验结果表明,该方法可以科学有效地对SRAM型FPGA抗单粒子辐射性能进行评估。

Implementation of Dynamic Matrix Control on Field Programmable Gate Array

High performance computer is often required by model predictive control(MPC) systems due to the heavy online computation burden.To extend MPC to more application cases with low-cost computation facilities, the implementation of MPC controller on field programmable gate array(FPGA) system is studied.For the dynamic matrix control(DMC) algorithm,the main design idea and the implemental strategy of DMC controller are introduced based on a FPGA’s embedded system.The performance tests show that both the computation efficiency and the accuracy of the proposed controller can be satisfied due to the parallel computing capability of FPGA.

基于FPGA的SM3算法优化设计与实现

介绍SM3密码杂凑算法的基本流程,基于现场可编程门阵列(FPGA)平台,设计SM3算法IP核的整体架构,对关键逻辑进行优化设计。选用Cyclone系列器件作为目标器件,与现有算法进行实现比较,结果表明SM3算法IP核耗费较少的逻辑单元和存储单元,具有最高的算法效率,可为密码片上系统产品的开发提供算法引擎支持。