首页> 美国政府科技报告 >Cognitive Radio Low-Energy Signal Analysis Sensor Integrated Circuits (CLASIC): A Broadband Mixed-Signal Iterative Down Conversion Spectrum Analyzer for Signal Recognition Applications.
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Cognitive Radio Low-Energy Signal Analysis Sensor Integrated Circuits (CLASIC): A Broadband Mixed-Signal Iterative Down Conversion Spectrum Analyzer for Signal Recognition Applications.

机译:认知无线电低能量信号分析传感器集成电路(CLasIC):用于信号识别应用的宽带混合信号迭代下变频频谱分析仪。

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This research addressed the design of spectrum channelizers spanning a frequency range from baseband to several GHz. The work demonstrates power-efficient architectures that channelize the input spectrum in the analog or mixed-signal domain, in order to reduce the performance and dynamic range burden on the baseband processors that may be utilized for signal sensing or detection tasks in the digital domain. The approaches allow for full or partial spectrum analysis that can be adapted based on system requirement. Dynamic range enhancement based on active interference cancellation can be implemented. A key aspect to the channelizers is that they minimize the requirement for independent frequency synthesizers, and allow for spectrum decomposition based on the use of a single primary clock.

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