High-speed A/D conversion for ultra-wideband signals based on signal projection over basis functions

2004 ◽  
Author(s):  
S. Hoyos ◽  
B.M. Sadler ◽  
G.R. Arce
Keyword(s):  
High Speed ◽  
Basis Functions ◽  
Ultra Wideband ◽  
Wideband Signals

scholarly journals A real-time locating system for localization of high-speed mobile objects

2018 ◽  
Vol 14 (5) ◽  
pp. 155014771877447 ◽  
Author(s):  
Minhyuk Kim ◽  
Sekchin Chang
Keyword(s):  
Real Time ◽  
High Speed ◽  
Time Difference ◽  
Ultra Wideband ◽  
Time Difference Of Arrival ◽  
Mobile Objects ◽  
Wideband Signals ◽  
Localization Performance ◽  
Locating System ◽  
Fading Environments

This article addresses a novel real-time locating system for localization of high-speed mobile objects in fading environments. The proposed locating system exploits time difference of arrival measurements based on ultra-wideband signals. However, the ultra-wideband signals cause a frequency-selective fading due to their short time duration, which induces severe inter-symbol interference. Moreover, high-speed objects cause fast fading due to large Doppler spread. Therefore, the fading cases considerably reduce the localization performance. The presented locating system relies on a new localization approach in order to overcome the fading issues, which utilizes a modification of extended Kalman filtering. Especially, the suggested locating method works well even in the zero time difference of arrival case, which occurs due to a very deep fading. Experiment results verify that the proposed real-time locating system gives excellent localization performance in severe fading environments. The results also exhibit that the presented locating system is superior to the conventional locating systems in the localization of high-speed mobile objects under fading environments.

scholarly journals Improved energy detection receiver for ranging in IEEE 802.15.4a standard

2017 ◽  
Vol 10 (2) ◽  
pp. 141-148
Author(s):  
Abdelmadjid Maali ◽  
Geneviève Baudoin ◽  
Ammar Mesloub
Keyword(s):  
Estimation Algorithm ◽  
Energy Detection ◽  
Ultra Wideband ◽  
Line Of Sight ◽  
Accurate Estimation ◽  
Time Of Arrival ◽  
Power Delay Profile ◽  
Wideband Signals ◽  
Toa Estimation ◽  
Ieee 802.15.4A

In this paper, we propose a novel energy detection (ED) receiver architecture combined with time-of-arrival (TOA) estimation algorithm, compliant to the IEEE 802.15.4a standard. The architecture is based on double overlapping integrators and a sliding correlator. It exploits a series of ternary preamble sequences with perfect autocorrelation property. This property ensures coding gain, which allows an accurate estimation of power delay profile (PDP). To improve TOA estimation, the interpolation of PDP samples is proposed and the architecture is validated by using an ultra-wideband signals measurements platform. These measurements are carried out in line-of-sight and non-line-of-sight multipath environments. The experimental results show that the ranging performances obtained by the proposed architecture are higher than those obtained by the conventional architecture based on a single-integrator in both LOS and NLOS environments.

scholarly journals In-Body Ranging with Ultra-Wideband Signals: Techniques and Modeling of the Ranging Error

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Muzaffer Kanaan ◽  
Memduh Suveren
Keyword(s):  
Neural Networks ◽  
Human Body ◽  
Extreme Value Distribution ◽  
Generalized Extreme Value Distribution ◽  
Ultra Wideband ◽  
Wideband Signals ◽  
Ranging Error ◽  
And Performance ◽  
Ranging Errors ◽  
Wireless Capsule

Results about the problem of accurate ranging within the human body using ultra-wideband signals are shown. The ability to accurately measure the range between a sensor implanted in the human body and an external receiver can make a number of new medical applications such as better wireless capsule endoscopy, next-generation microrobotic surgery systems, and targeted drug delivery systems possible. The contributions of this paper are twofold. First, we propose two novel range estimators: one based on an implementation of the so-called CLEAN algorithm for estimating channel profiles and another based on neural networks. Second, we develop models to describe the statistics of the ranging error for both types of estimators. Such models are important for the design and performance analysis of localization systems. It is shown that the ranging error in both cases follows a heavy-tail distribution known as the Generalized Extreme Value distribution. Our results also indicate that the estimator based on neural networks outperforms the CLEAN-based estimator, providing ranging errors better than or equal to 3.23 mm with 90% probability.

A High-Speed Fully Differential Telescopic Op-Amp for Active Filter Designs in V2X Applications

2021 ◽  
Author(s):  
Furkan Barin ◽  
Ertan Zencir
Keyword(s):  
High Speed ◽  
Low Voltage ◽  
Supply Voltage ◽  
Active Filter ◽  
Ultra Wideband ◽  
Two Stage ◽  
Fully Differential ◽  
Op Amp ◽  
Current Mirrors ◽  
Design Techniques

In this paper, an ultra-wideband fully differential two-stage telescopic 65-nm CMOS op-amp is presented, which uses low-voltage design techniques such as level shifter circuits and low-voltage cascode current mirrors. The designed op-amp consists of two stages. While the telescopic first stage provides high speed and low swing, the second stage provides high gain and large swing. Common-mode feedback circuits (CMFB), which contain five transistors OTA and sensing resistors, are used to set the first-stage output to a known value. The designed two-stage telescopic operational amplifier has 41.04[Formula: see text]dB lower frequency gain, 1.81[Formula: see text]GHz gain-bandwidth product (GBW) and 51.9∘ phase margin under 5[Formula: see text]pF load capacitance. The design consumes a total current of 11.9[Formula: see text]mA from a 1.2-V supply voltage. Presented fully differential two-stage telescopic op-amp by using low-voltage design techniques is suitable for active filter in vehicle-to-everything (V2X) applications with 120[Formula: see text][Formula: see text]m[Formula: see text]m layout area.

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