Fast and Low-Complexity Frame-Level Synchronization for Transmitted Reference Receivers

Abstract

A frame-level synchronization (FLS) algorithm for the UWB transmitted-reference (TR) receiver is designed and analyzed in this paper. The algorithm exploits the robustness of the TR receiver to synchronization errors [1], and has a moderate accuracy but a very low complexity and fast synchronization speed compared to conventional approaches requiring subnanosecond-level accuracy. Detailed analysis of the algorithm is carried out. Synchronization performance of both blind and non-blind approaches are derived and compared in terms of the average acquisition time. Error detection and correction strategies are built in to further improve the performance of the algorithm. Parameter selections that minimize the average acquisition time are also discussed, based on our in-depth analysis.

Fast and Low-Complexity Frame-Level Synchronization for Differential Transmitted Reference Receivers

“…Fading channel coefficients are generated using the model in [6],through simulation ,it confirms that our algorithm is better than the algorithm of [7] alogrithm1 is in [6] alogorithm2 is in this paperψ Ⅴ Conclusions In this paper, we modify the FLS algorithm for TR receiver and apply it for DTR receiver. In every step, we add verification in one frame.…”

“…Average acquisition time vs. M, last ex T = 0.5Tm, ,Tex = 0.5Tm.ψEb N0=24dB algorthm1 is in this paper ,algorithm2 is in[6] …”

Training based synchronization and efficient demodulation for UWB systems

“…Let T R := sup{t|w R (t) = 0}, and it is easy to see that T R ≤ T s + τ L−1,0 (τ L−1,0 ≤ T f is generally satisfied for UWB systems [11], [12]). It follows that the received noisy signal is…”

Impact of Multipath Interference on the Performance of an UWB Fast Acquisition System for Ranging in an Indoor Wireless Channel

“…In recent years, much research work has been devoted to accelerating the acquisition process of UWB signals. Based on different algorithmic approaches, several fast acquisition techniques were proposed [4][5][6][7]. However, the complexity aspect was generally less emphasized than the algorithmic one.…”