Bamrung Tau Sieskul

Learn More
—We propose a new hybrid wireless geolocation scheme that requires only one observation quantity, namely, the received signal. The attenuation model is explored herein to capture the propagation features from the received signal. Thus, it provides a more accurate approach for wireless geolocation. To investigate geolocation accuracy, we consider the(More)
—The mobile position estimation using time-of-arrival (ToA) is considered for the wireless NLoS geolocation exploring a signal strength (SS) based on path loss. As exploited the path attenuation, a hybrid SS-ToA approach indicates a performance improvement compared with the usual ToA method. To realize this prospect, it calls for an estimator to determine(More)
We consider a time-of-arrival (ToA) estimation in the presence of path attenuation. Maximum correlation (MC) is revisited and maximum likelihood (ML) is newly derived to estimate the ToA. It reveals that for low effective bandwidth, short distance and large path loss exponent, the ML has a smaller error variance than the MC. Numerical examples illustrate(More)
In this paper, a MIMO channel model accounted for Ricean fading and stochastically uncorrelated signals is proposed for the problem of estimating three important parameters of wireless channel, such as the nominal direction, the angular spread and the Ricean factor. Although such a problem formulation captures so many physical scattering features into a(More)
We consider the wireless geolocation using the time of arrival (ToA) of radio signals in a cellular setting. The main concern in this paper involves the effects of the error knowledge of the path loss exponent (PLE). We derive the asymptotic error performance of the maximum likelihood (ML) estimator under the imperfect PLE. We point out that a previous(More)
This paper considers the wireless non-line-of-sight (NLoS) geolocation in mixed LoS/NLoS environments by using the information of time-of-arrival. We derive the Cramer-Rao bound (CRB) for a deterministic shadowing, the asymptotic CRB (ACRB) based on the statistical average of a random shadowing, a generalization of the modified CRB (MCRB) called a(More)
— The purpose of this paper is to account for estimating the MIMO channel parameters in the presence of stochastically correlated signals, spatial scattering and Ricean fading. A parametric framework based on the second-order statistic is developed herein. As manipulated a few of reduced parameterizations, we derive an explicit form of the array covari-ance(More)