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Coded Diversity Combining and Channel Estimation for Wireless Data Communications

Coded Diversity Combining and Channel Estimation for Wireless Data Communications
无线数据通信的编码分集组合和信道估计
批准号:
9706592
负责人:
Zygmunt Haas
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing grant
财政年份:
1997
资助国家:
美国
项目状态:
已结题
起止时间:
1997-09-01 至 2001-08-31

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中文摘要
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英文摘要
Recently, a new post-detection macrodiversity scheme was proposed for cellular communication systems. In this new scheme, termed Multiply-Detected Macrodiversity (MDM), the signals at multiple base stations are detected and used as input to a Decision Algorithm, which provides an optimal decision of what was transmitted. The MDM scheme shows considerable improvement in the Bit-Error Rate (BER), especially when the mobile is close to the boundary between cells. As the boundary between cells is exactly the region in which the quality of the mobile's signal is mostly impaired, the MDM scheme has the effect of equalizing the BER throughout the system coverage area. The Decision Algorithm of the MDM scheme requires as an input, in addition to the separate detections of the receivers, also an estimation of the quality of the received signals, so that appropriate"weightings" of these signals can be applied in the post-detection combining process. To obtain estimates, usually some sort of channel measurement is performed; e.g., the signal power (S-diversity) or the Signal-to-Interference-Ratio (S/I-diversity). In such cases, the measurement process complicates the design of the transmitter/receiver hardware and the operation of the system. Furthermore, the measurements are subject to high variance and need to be averaged over time. To avoid the disadvantage of the measurement-based quality of signal estimation, we propose here to investigate the use of channel coding to evaluate the transmission characteristics of a wireless channel for macrodiversity reception. The proposed channel estimation schemes use side information generated during the decoding process.In summary, we intend to study the use of the MDM combining with coded channel estimation in the case of a single site equipped with multiple,widely-separated receivers and in the case of multiple cell sites. In the latter case, we will investigate the use of both post-detection and predetection combining (with quantization of the recei ved signal), comparing the performance in the schemes in the presence of channel impairments characteristic to the mobile communication environment.
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Collaborative Research: EAGER: Reliable Monitoring and Predictive Modeling for Safer Future Smart Transportation Structures
  • 批准号:
    2329800
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.0万
  • 财政年份:
    2023
  • 负责人:
    Zygmunt Haas
  • 依托单位:
NeTS: Medium: Collaborative Research: Passive Network of Tags for Smart Spaces
  • 批准号:
    1763627
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2018
  • 负责人:
    Zygmunt Haas
  • 依托单位:
EAGER: Job-Centered Power Management Policies for Data Centers
  • 批准号:
    1533282
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.28万
  • 财政年份:
    2015
  • 负责人:
    Zygmunt Haas
  • 依托单位:
EAGER: Collaborative Research: Holistically Application-Aware Multi-dimensional Cognitive Radio (HAMCR)
  • 批准号:
    1352880
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.5万
  • 财政年份:
    2013
  • 负责人:
    Zygmunt Haas
  • 依托单位:
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