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Based on LFM UWB localization

Author: SongYiFeng
Tutor: ZhuoYongNing
School: University of Electronic Science and Technology
Course: Communication and Information System
Keywords: Chirp ultra-wideband Wireless Location Super- resolution algorithm Multistage Wiener filter (MSWF)
CLC: TN95
Type: Master's thesis
Year: 2010
Downloads: 154
Quote: 1
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Abstract

In recent years, the community in the short-distance wireless communication, positioning the huge demand and microelectronics, RF hardware technology such great progress, ultra-wideband (UWB) systems has become a hot research. This article focuses on linear FM signal (Chirp) UWB is one of them. Since this system has a high resolution multi-path transmission distance, the signal penetration, anti-jamming ability and Doppler shift of the signal peak to average ratio, low power consumption and low cost many advantages, is very suitable the short distance for indoor and outdoor positioning. This paper focuses stations, airports, shopping malls, schools and hospitals and other small-scale space UWB positioning. Its high reliability positioning results can be used to track, guide, fire rescue, counter-terrorism, or other emergency services. This paper studies how to use Chirp UWB positioning, while positioning the key lies in whether the signal can accurately measure time difference of arrival (TDOA). Close to the actual propagation environment for UWB channel model, available in a variety delay measurement and positioning algorithm based on, focusing on the following tasks: firstly introduced Ultra-Wideband Chirp relevant background and a detailed analysis of Chirp Signals Spread principle and delay estimation based on pulse compression method. For the same ultra-wideband channel, the use of different bandwidths Chirp signal simulation. Simulation results show that this method is time-delay estimation performance and Chirp signal bandwidth is closely related to the positioning for large bandwidth applications. Then introduce the concept of higher order statistics to calculate Chirp signal FOC improved fourth-order cumulant-based TLS-ESPRIT algorithm. This method first through the TLS-ESPRIT algorithm for delay estimation and thus determine the initial peak search range, then use the MUSIC algorithm to correct the preliminary estimates, while excluding false trails. MATLAB simulation results show that the new algorithm is suitable for small and Chirp signal bandwidth channel contains colored noise situation. Meanwhile, the paper also pointed out the simulation design and engineering applications, three important parameters need to obey several relations. Then introduced the multistage Wiener filter relevant content, Chirp signal derived fourth-order moment matrix, on the basis of improved MUSIC algorithm based on decoherence. This algorithm uses the basic multiply-add operations to avoid the super-resolution algorithm eigenvalue decomposition, which greatly reduces the amount of computation to facilitate hardware processing implementation. When Chirp signal bandwidth is small and the channel is white noise, the simulation results show that significantly reduce computational complexity, under the premise that the algorithm remains coherent understanding of the superiority of the MUSIC algorithm. Finally, the proposed delay estimation algorithm for time difference measurement, and used four times to reach the poor based wireless location algorithm processing data. The simulation results proved that the time delay estimation method previously proposed can accurately measure the time difference, and as a basis to obtain the ideal positioning effect. Simulation results indicate that both, Chirp signal bandwidth different, not the same for the positioning algorithm.

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