Nonparametric PN code acquisition using the signed-rank statistic for DS
Article Ecrit par: Hong, Gil Kim ; Song, Iickho ; Yoon, Seokho ; So, Ryoung Park ;
Résumé: In this paper, signed-rank based nonparametric detectors are used for pseudonoise (PN) code acquisition in frequency-selective Rician fading channels. We first derive the locally optimum rank detector and then propose the locally suboptimum rank (LSR) and kth order modified signed-rank (MSR<subscript>k) detectors using approximate score functions. We compare the hybrid parallel double-dwell scheme using the LSR and MSR<subscript>k detectors with that using the conventional squared-sum (SS) and modified sign (MS) detectors. From the simulation results, it is shown that the LSR and MSR<subscript>k detectors perform better than the SS detector using the cell averaging constant false-alarm rate processor and the MS detector by about 2-3 dB.
Langue:
Anglais