Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
IEEE Transactions on Communications
M-PPM noncoherent receivers for UWB applications
IEEE Transactions on Wireless Communications
Maximum likelihood estimation of SNR using digitally modulated signals
IEEE Transactions on Wireless Communications
On the down-link performance of multi-carrier CDMA systems with partial equalization
IEEE Transactions on Wireless Communications
Low Complexity Rake Receivers in Ultra-Wideband Channels
IEEE Transactions on Wireless Communications
SNR Estimation Methods for UWB Systems
IEEE Transactions on Wireless Communications
Analysis of UWB transmitted-reference communication systems in dense multipath channels
IEEE Journal on Selected Areas in Communications
FASA: accelerated S-ALOHA using access history for event-driven M2M communications
IEEE/ACM Transactions on Networking (TON)
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New and improved energy detector for random signals in Gaussian noise is proposed by replacing the squaring operation of the signal amplitude in the conventional energy detector with an arbitrary positive power operation. Numerical results show that the best power operation depends on the probability of false alarm, the probability of detection, the average signal-to-noise ratio or the sample size. By choosing the optimum power operation according to different system settings, new energy detectors with better detection performances can be derived. These results give useful guidance on how to improve the performances of current wireless systems using the energy detector. It also confirms that the conventional energy detector based on the generalized likelihood ratio test using the generalized likelihood function is not optimum in terms of the detection performance.