Anti-sampling-distortion compressive wideband spectrum sensing for Cognitive Radio
نویسندگان
چکیده
منابع مشابه
Anti-sampling-distortion compressive wideband spectrum sensing for Cognitive Radio
Too high sampling rate is the bottleneck to wideband spectrum sensing for cognitive radio in mobile communication. Compressed sensing (CS) is introduced to transfer the sampling burden. The standard sparse signal recovery of CS does not consider the distortion in the analogue-to-information converter (AIC). To mitigate performance degeneration casued by the mismatch in least square distortionle...
متن کاملCompressive Spectrum Sensing for Cognitive Radio Networks
............................................................................................................................... 3 RÉSUME .................................................................................................................................... 5 ACKNOWLEDGEMENT .......................................................................................................... 7 ...
متن کاملWideband Spectrum Sensing for Cognitive Radio Networks
Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrum utilization in next generation cellular networks. A crucial requirement for future cognitive radio networks is wideband spectrum sensing: secondary users reliably detect spectral opportunities across a wide frequency range. In this article, various wideband spectrum sensing algorithms are presented,...
متن کاملCooperative Wideband Spectrum Sensing for the Centralized Cognitive Radio Network
Various primary user (PU) radios have been allocated into fixed frequency bands in the whole spectrum. A cognitive radio network (CRN) should be able to perform the wideband spectrum sensing (WSS) to detect temporarily unoccupied frequency bands. We summarize four occupancy features for the frequency bands. 1. The occupancy is sparse; 2. The frequency band allocation information is fixed and co...
متن کاملApplication of Compressed Sampling for Spectrum Sensing and Channel Estimation in Wideband Cognitive Radio Networks
In the last few years Compressed Sampling (CS) has been well used in the area of signal processing and image compression. Recently, CS has been earning a great interest in the area of wireless communication networks. CS exploits the sparsity of the signal processed for digital acquisition to reduce the number of measurement, which leads to reductions in the size, power consumption, processing t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Mobile Communications
سال: 2011
ISSN: 1470-949X,1741-5217
DOI: 10.1504/ijmc.2011.042779