Title :
Ranging Implementation Using Finite-Resolution Digital Receiver for IEEE 802.15.4a Systems
Author :
Sun, Fei ; Yin, Huarui ; Wang, Weidong
Author_Institution :
Dept. of Electr. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, HeFei, China
Abstract :
The ranging implementation for IEEE 802.15.4a systems usually requires for high sampling rate high resolution ADCs, which are too complicated and power-hungry for realization. Recent methods have been proposed to make tradeoffs, such as limiting amplitude resolution to a few bits, which results in finite-resolution quantization receiver. In this paper, the influence of the low-bit quantizer on UWB time-of-arrival (TOA) estimation is investigated. Likelihood ratio test (LRT) and involved generalized Neyman-Pearson lemma are used to optimize the TOA estimation performance. Several types of the low-bit and full-resolution digital receivers are compared via Monte Carlo simulation. We demonstrate that our scheme provides obvious superiority than the traditional uniform quantizer with little complexity increase. Furthermore, 3-bit receiver is proved good enough since it can approach the performance bound achieved by the full-resolution receiver.
Keywords :
Monte Carlo methods; Zigbee; analogue-digital conversion; radio receivers; time-of-arrival estimation; ultra wideband communication; IEEE 802.15.4a systems; LRT; Monte Carlo simulation; TOA estimation; UWB time-of-arrival estimation; amplitude resolution; finite-resolution digital receiver; finite-resolution quantization receiver; generalized Neyman-Pearson lemma; high-sampling rate high-resolution ADC; likelihood ratio test; low-bit full-resolution digital receivers; low-bit quantizer; ranging implementation; Distance measurement; IEEE 802.15 Standards; Quantization; Receivers; Signal to noise ratio; Synchronization; Time of arrival estimation;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8328-0
DOI :
10.1109/VETECF.2011.6092838