Current Students and Reseach Directions

Name Research Degree Main References
Ali Al-Beladi TWRI for Human Detection Using Sparse Reconstruction MS M. G. Amin and F. Ahmad,“Compressive Sensing for Through-the-Wall Radar Imaging,” Journal of Electronic Imaging, vol. 22, no. 3, July 2013.

M. G. Amin and F. Ahmad,“Change Detection Analysis of Humans Moving Behind Walls,” IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 1, January 2013. 
      E. Lagunas, M. G. Amin, F. Ahmad, and M. Najar,“Determining Building Interior Structures using Compressive Sensing,” Journal of Electronic Imaging, vol. 22, no. 2, April 2013. 
       
       
       
       
       
       
       

 

Current Projects

SABIC : Practical Implementation of Compressive Sensing on Ultra-Wideband Channels  (PI)

Finished NSTP Project: High-Resolution UWB Positioning

NSTP Project: Physically Motivated Wideband Channel Characterization

 

PROJECT TASKS

1.1   Literature review and survey of relevant previous work

1.2   Evaluation and selection of suitable equipment and development tools

2.1   Set-up of a comprehensive UWB design and measurement test-bed

3.1   Experimentation with UWB timing measurements in NLOS environments

3.2   Experimentation with UWB timing measurements under obstructed propagation

4.1   Analysis of positioning algorithms based on UWB time-of-arrival measurements

4.2   Implementation of high-resolution UWB positioning schemes

5.1   Integration and fine-tuning of the different modules into a working system

            5.2   Writing of final report, and dissemination of results and findings

Project Team:

Dr. Ali H. Muqaibel  (PI)
 Dr. Mohamed A. Landolsi  (CI-1)
Dr. Abdallah S. Al-Ahmari  (CI-2)
Mr. Umar M. Johar (CI-3)

Supporting Team Member:

Tech. Abdul Hameed Frazi
 Secretary

Graduate Students:

Mr. Nuruddeen M. Iya
Mr. Mohammed Naseeruddin Mahmood
Mr. Khaled Al-Qahtani

Resources:

 #  
[Fal06]
Chiara Falsi , Davide Dardari , Lorenzo Mucchi , Moe Z. Win, Time of arrival estimation for UWB localizers in realistic environments, EURASIP Journal on Applied Signal Processing, 2006,
[Guv07]
NLOS Identification and Mitigation for UWB Localization Systems

Guvenc, I.; Chia-Chin Chong; Watanabe, F.;
Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
11-15 March 2007 Page(s):1571 - 1576
Digital Object Identifier 10.1109/WCNC.2007.296

AbstractPlus | Full Text: PDF(211 KB)    IEEE CNF
Rights and Permissions

[Mol] IEEE 802.15.4a channel model - final report

Andreas F. Molisch, Kannan Balakrishnan, Chia-Chin Chong, Shahriar Emami, Andrew Fort, Johan Karedal, Juergen Kunisch, Hans Schantz, Ulrich Schuster, Kai Siwiak

 
[Muc09] Mucchi, L.; Marcocci, P., "A new parameter for UWB indoor channel profile identification," Wireless Communications, IEEE Transactions on , vol.8, no.4, pp.1597-1602, April 2009

Official Links

http://www.kfupm.edu.sa/dsr/nstp_downloads.htm

Meeting and Action Items:

Meeting 1:        7/10/2009

Meeting  2:      19/10/2009

Meeting  3:       2/11/2009

Agenda:

Meeting  4:  Wednesday      18/11/2009

Agenda:

Meeting  5:  Wednesday      23/12/2009       10:00am-11:00am

Agenda:

·         Status of Equipment requests (Mr. Umar)

·         Define Task reasonability among the Co-investigators. (Dr. Muqaibel)

·         Any additional items

Meeting  6:  Monday      11/01/2010       10:00am-11:00am

Action items:

Every group (as in the Figure below ) will submit a progress report (formal, finalized) by the second Saturday in 092 (27 of February, 2010, hard deadline :) )

 

Meeting  7:  Wednesday      27/01/2010       10:00am-11:00am

Agenda:

Meeting  8:  Tuesday      02/03/2010       12:15am-12:45am

Graduate Students Proposed Tasks and Area of Research:

 

 

Researcher (MS)

 Topic

Suggested Tasks

 Main References
1 Mr. Nuruddeen M. Iya Wall Compensation for High Resolution UWB Obstructed Localization 
  • Conduct full survey on wall characterization and propagation with emphasis on the knew UWB applications like high resolution positioning and through-wall imaging. While the target in not full-through the wall imaging, it is worth being exposed to the work of Dr. M. G. Amin and how he represent the different walls. (More work is expected)
  • Build and test a through-the-wall UWB Position Setup. The system is a frequency domain setup based on a Vector Network Analyzer.
  • Conduct transmission and reflection measurements to characterize some typical indoor walls (wood, glass, plasterboard). The measurement should provide comprehensive understanding of the wall on high resolution UWB positioning. The is achieved through repeatability and variability analysis.
  • The characterized walls should be presented in terms of the insertion loss function (magnitude and phase) provide information about the impact of the specific thickness and how the retrieved data can be further generalized. Other parameters like dielectric constant can also be examined.
  • Conduct through wall (obstructed) measurements with different scenarios (different distance from the wall, different angles). Study the impact of on the wave form.
  • Demonstrate Wall compensation by using the prior knowledge of the wall to correct the position estimation and perform statistical error analysis.
  • (Objectives can be adjusted based on the availability of the hardware equipment and proper antennas. In case of delay the research will switch to simulation and possible available measured data)
 [Muq08],
2 Mr. Mohammed Naseeruddin Mahmood UWB Time of Arrival Estimation and Channel Identification
  • Perform Literature Survey that covers up-to-date research related to time estimation in UWB signals  and the related identification of Channels as being LOS/NLOS. High-resolution positioning (localization) should be the main targeted application. (Due by mid of Feb 2010)
  • Get familiar with the IEEE802.15 model for UWB and the associated codes. You should be able to understand how to use the code effectively for Simulation.
  • Understand the provided measured profiles
  • Study Different Parameters which are useful to achieve the task (e.g. kurtosis, Peak to lead time,.....etc).
  • Examine the application of Kalman Filtering Technique to estimate the time of arrive. (Dr. Adnan will provide the details)
  • Examine the effect of pulse shape on the timing performance (deconvolution problem)
  • Evaluate the performance of the different parameters at different environments (Simulated+ Measured) profiles.
  • Suggest a hybrid (improved) technique for time acquisition (Channel identification) and compare the performance with existing techniques.
 [Fal06], [Muc09][Guv07], [Mol]
3 Mr. Khaled Al-Qahtani NLOS Mitigation for UWB Localization
  • Get familiar with the IEEE802.15 model for UWB and the associated codes. You should be able to understand how to use the code effectively for Simulation.
  • Formulate the positioning problem to reflect the UWB propagation characters (include the IEEE802.15.4 Model)
  • Impalement the TDOA AML positioning algorithm  [Cha06b]
  • Evaluate the performance of different NLOS mitigation techniques on UWB scenarios.
  • Suggest a hybrid (improved) technique for NLOS error mitigation
  • Demonstrate the ability of the proposed technique to achieve a certain positioning accuracy.
[Guv07], [Mol],[Cha06b]