In this letter,we propose a hybrid analog/digital detection algorithm,the Correlated In-terference Cancellation(CIC) algorithm,for Impulse Radio Ultra-WideBand(IR-UWB) system.The CIC algorithm correlates received signal with its delayed versions in the analog domain and samples the correlation output at the symbol rate.The symbol rate samples are processed in the digital domain to perform interference cancellation.Therefore,CIC works for high data rate systems with heavy In-terSymbol Interference(ISI).Simulation results show that CIC achieves good performance in typical UWB channels.
In this letter,P × N-pointIFFT is proposed to replace the N-point IFFT and analog fre-quency conversion in an Orthogonal Frequency Division Multiplexing (OFDM)-based Ultra-WideBand (UWB) system,and a new algorithm,named fast P × N-pointIFFT,is designed to reduce the com-plexity of the P × N-pointIFFT in the proposed scheme.
An energy-efficient heuristic mechanism is presented to obtain the optimal solution for the coverage problem in sensor networks. The mechanism can ensure that all targets are fully covered corresponding to their levels of importance at minimum cost, and the ant colony optimization algorithm （ACO） is adopted to achieve the above metrics. Based on the novel design of heuristic factors, artificial ants can adaptively detect the energy status and coverage ability of sensor networks via local information. By introducing the evaluation function to global pheromone updating rule, the pheromone trail on the best solution is greatly enhanced, so that the convergence process of the algorithm is speed up. Finally, the optimal solution with a higher coverage- efficiency and a longer lifetime is obtained.
