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Design and VLSI implementations of DSP algorithms for communication systems

Design and VLSI implementations of DSP algorithms for communication systems
通信系统 DSP 算法的设计和 VLSI 实现
批准号:
288185-2006
负责人:
AbdelRaheem, Esam
金额:
$0.87万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2008
资助国家:
加拿大
项目状态:
已结题
起止时间:
2008-01-01 至 2009-12-31

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中文摘要
翻译
提出的研究将利用对通信系统数字信号处理(DSP)算法的设计和VLSI实现的创新解决方案的调查。将采用高性能、低复杂性和低功耗的解决方案。该项目的目标是:(1)进一步开发具有更短收敛时间(TTC)质量的盲均衡技术,以适应高速通信系统和无线通信标准(即DPSK, DQPSK, GMSK等)中实施的其他调制方案。(2)进一步发展计算效率高的盲自适应均衡技术,减少计算量,从而增加系统的吞吐量,和/或降低硬件复杂性。(3)开发可编程/可重构盲自适应均衡器,使其滤波器长度、自适应参数和误差测量根据未来多标准通信设备(也如软件定义无线电)接收机中使用的调制而变化。(4)开发低硬件复杂度和/或计算效率高的自适应算法,用于通信系统中的回波抵消应用。(5)实现盲自适应均衡器和自适应回波消除器(aec)的低功耗,以满足快速增长的移动通信业务需求。(6)开发具有高速、低功耗和低复杂度要求的盲自适应均衡器和回声消除器的VLSI实现。(7)提高802.11a/RA在高速车辆下的性能和鲁棒性,以便在5.9GHz专用短距离通信(DSRC)系统中实现更高的数据速率。(8)为确认可行性,考虑接收机设计的复杂性,并保持与802.11a/RA标准的一致性。
英文摘要
The proposed research will leverage the invistigation of innovative solutions in the design and VLSI implementations of digital signal processing (DSP) algorithms for communication systems. Solutions that would lead to high performance, low complexity and low-power consumptions will be adopted. Objectives of the project are: (1) To further develop blind equalization techniques that have shorter time-to-convergence (TTC) quality to suit high-speed communication systems and for other  modulation schemes implemented in wireless communication standards (i.e., DPSK, DQPSK, GMSK, etc.). (2) To further develop computationally-efficient blind adaptive equalization techniques that reduce both the amount of computations and hence increase the system's throughput, and/or decrease hardware complexity. (3)To develop programmable/reconfigurable blind adaptive equalizer so that their filter lengths, adaptation parameters, and error measure are variables according to the modulation utilized in the receiver for multi-standard future communication equipments (also as in software-defined radios). (4) To develop low-lardware-complexity and/or computationally-efficient adaptive algorithms for echo cancellation applications in communication systems. (5)To achieve low-power in blind adaptive equalizers and adaptive echo cancellers (AECs) to respond to the increased demand of fast-growing mobile communication services. (6)To develop VLSI implementations of blind adaptive equalizers and echo cancellers that incorporate both high-speed, low-power, and low-complexity requirements. (7) To achieve performance enhancement and robustness of 802.11a/RA for high vehicular velocity, so that higher data rates may be achieved in a 5.9GHz Dedicated Short Range Communication (DSRC) system.   (8)To confirm feasibility, consider the complexity of the receiver design, and maintain consistency with the 802.11a/RA standard.
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Efficient Algorithms for Cognitive Radio Networks
  • 批准号:
    RGPIN-2018-05523
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2022
  • 负责人:
    AbdelRaheem, Esam
  • 依托单位:
Efficient Algorithms for Cognitive Radio Networks
  • 批准号:
    RGPIN-2018-05523
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
Efficient Algorithms for Cognitive Radio Networks
  • 批准号:
    RGPIN-2018-05523
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2020
  • 负责人:
    AbdelRaheem, Esam
  • 依托单位:
Efficient Algorithms for Cognitive Radio Networks
  • 批准号:
    RGPIN-2018-05523
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.68万
  • 财政年份:
    2019
  • 负责人:
    AbdelRaheem, Esam
  • 依托单位:
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  • 资助金额:
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  • 项目类别:
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  • 资助金额:
    30.0万元
  • 批准年份:
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