STTR Phase I: Joint Wireless Communication and Vehicular RADAR through Successive Structured Target Estimation

STTR 第一阶段：通过连续结构化目标估计联合无线通信和车载雷达

• 批准号: 1549663
• 负责人: Robert Daniels
• 金额: $ 22.5万
• 依托单位: Kuma Signals, LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-15 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1549663&HistoricalAwards=false
• 关键词: STTR; Phase; Joint; Wireless; Communication

The broader impact/commercial potential of this project is the production of high-fidelity intelligent transportation systems at lower costs to increase automotive safety globally without wasting wireless spectrum to be used for other humanity improvement technologies. Successful completion of the work plan in this project enables opportunity for wireless communication device vendors and automotive original equipment manufacturers (OEMs) in the vehicular RADAR sensor market through structured target estimation (SSTE). Preliminary studies have suggested that SSTE may reduce the device cost requirements for vehicular RADAR to automotive OEMs by one order of magnitude. The availability of RADAR processing on standard wireless communication devices also enables dual-purpose wireless devices, leading to further reduced costs as well as increased security. Reduced costs and increased security in vehicular RADAR not only presents an attractive business opportunity, but also leads to safer transportation globally. Preliminary studies have also shown that SSTE requires 87% fewer spectrum resources. More efficient spectrum usage yields more spectrum availability for other applications like cellular communications and simultaneously increases the opportunity for license-free public spectrum.This Small Business Technology Transfer Research (STTR) Phase I project will validate a new framework for RADAR through a suite of signal processing functions known as successive structured target estimation (SSTE). In contrast to standard RADAR waveform processing, SSTE uses channel impulse response estimates available on wireless communication devices. SSTE exploits newly-discovered target structure to substantially improve performance in terms of ranging accuracy and spectrum consumption. The work plan will evaluate ranging accuracy and spectrum consumption through over-the-air radio frequency (RF) testing with moving vehicles. These tests must show that: (1) SSTE enables RADAR applications that use much less spectrum than required by current RADAR devices (2) SSTE functions adequately in all relevant vehicular environments (3) SSTE is able to track a sufficient number of targets for vehicular applications (4) wireless communication devices may service RADAR applications through SSTE without sacrificing performance in relevant vehicular environments.

该项目的更广泛的影响/商业潜力是以更低的成本生产高保真智能交通系统，以提高全球汽车安全性，而不会浪费用于其他人类改善技术的无线频谱。该项目工作计划的成功完成为无线通信设备供应商和汽车原始设备制造商（oem）提供了通过结构化目标估计（SSTE）进入车载雷达传感器市场的机会。初步研究表明，SSTE可以将汽车原始设备制造商对车载雷达的设备成本要求降低一个数量级。雷达处理在标准无线通信设备上的可用性也使无线设备具有双重用途，从而进一步降低成本并提高安全性。车载雷达降低了成本，提高了安全性，不仅带来了诱人的商机，而且还带来了全球更安全的交通。初步研究还表明，SSTE所需的频谱资源减少了87%。更有效的频谱使用为蜂窝通信等其他应用提供了更多的频谱可用性，同时增加了免许可公共频谱的机会。这个小型企业技术转移研究（STTR）第一阶段项目将通过一套被称为连续结构化目标估计（SSTE）的信号处理功能来验证雷达的新框架。与标准雷达波形处理相比，SSTE使用无线通信设备上可用的信道脉冲响应估计。SSTE利用新发现的目标结构，在测距精度和频谱消耗方面大大提高了性能。该工作计划将通过移动车辆的无线射频（RF）测试来评估测距精度和频谱消耗。这些测试必须表明：(1)SSTE使雷达应用使用的频谱比当前雷达设备所需的频谱少得多(2)SSTE在所有相关车辆环境中都能充分发挥作用(3)SSTE能够为车辆应用跟踪足够数量的目标(4)无线通信设备可以通过SSTE为雷达应用提供服务，而不会牺牲相关车辆环境中的性能。