Performance analysis of the IEEE 802.15.4a UWB system
IEEE Transactions on Communications
Effectiveness of distance-decreasing attacks against impulse radio ranging
Proceedings of the third ACM conference on Wireless network security
Low complexity location fingerprinting with generalized UWB energy detection receivers
IEEE Transactions on Signal Processing
Maximum eigenvector based weighted non-coherent receiver for IR-UWB PPM signals
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Compressed sensing reception of bursty UWB impulse radio is robust to narrow-band interference
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Robust IEEE 802.15.4a energy detection receiver using statistical interference modeling
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Time delay characteristic of industrial wireless networks based on IEEE 802.15.4a
International Journal of Automation and Computing
Journal of Network and Computer Applications
Throughput and delay limits of chirp spread spectrum-based IEEE 802.15.4a
International Journal of Communication Systems
Wireless Personal Communications: An International Journal
Simulated Annealing Mechanic Based Noncoherent Signal Detection for Ultra-wideband Sensor Networks
Wireless Personal Communications: An International Journal
Ant intelligence inspired blind data detection for ultra-wideband radar sensors
Information Sciences: an International Journal
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This paper deals with a novel energy-detection receiver for ultra-wideband systems operating in dense multi-path environments. For binary PPM modulation we propose a detection scheme that operates on signal energy measurements taken on small fractions (bins) of the symbol period. Assuming that the fractional energies of the channel response over those bins can be estimated in some way, we look for the decision strategy that minimizes the error probability. This leads us to a receiver structure that generalizes the conventional energy- detection scheme. The new strategy turns out to be superior to the conventional strategy and its performance is found to improve as the bin size decreases. A simple method is proposed to estimate the fractional energies of the channel response exploiting a training sequence. The impact of the estimation errors on the receiver performance is shown to be marginal.