Yet another TOA estimation technique for IR‐UWB. (2014)

• Record Type: Journal Article
• Other Names: Special Editor.
• Is Part Of: Compel. Volume 33(2014) Supplement ICEF 2012
• Page Start: 286
• Page End: 297
• Publication Date: 2014
• Subjects: Communication technologies -- Signal processing -- Probability -- Autoregressive modelling -- Electronics; Electrical engineering -- Data Processing -- Periodicals; Electrical engineering -- Mathematics -- Periodicals; Electrical engineering -- Periodicals; Electronics -- Data Processing -- Periodicals; Electronics -- Mathematics -- Periodicals; 621.3
• DOI: 10.1108/COMPEL-07-2012-0117
• Languages: English
• ISSNs: 0332-1649

Abstract

Abstract : Purpose – The paper aims to propose a new method for estimating the time of arrival (TOA) of ultra‐wideband (UWB) signals under IEEE 802.15.4a multipath channel model.Design/methodology/approach – The proposed approach is based on a proportionality test and consists in finding out whether two autoregressive (AR) processes, modeling two frames, are proportional or not. The latter operation uses a distance to measure the proportionality between the two AR processes.Findings – The developed technique may be used in two ways, sample‐by‐sample or block‐by‐block, according to the required ranging accuracy. It is important to note that the method offers flexibility between the computational load and the needed estimation accuracy. Moreover, the proposed method uses a threshold that is derived analytically according to a preset false alarm probability.Practical implications – Simulation experiments are conducted to assess the performance of the new TOA estimation algorithm. Thereby, the comparison is done against the well‐known CLEAN algorithm for a sample‐by‐sample based TOA estimation and against three energy detector based receiver algorithms. The obtained results highlight the effectiveness of the developed approach.Originality/value – The developed TOA estimation algorithm is completely different from other techniques in the literature, and it is based on a proportionality test between two sliding frames. These latter are modeled by two AR processes. Then a distance measure is used to check whether or not the power spectral densities are proportional.