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Electrical & Computer Engineering

Electrical and Computer Engineering
3108 Engineering Hall
1701D Platt St.
Manhattan, KS 66506
Fax: 785-532-1188

Hours: Monday - Friday
8 a.m.-noon, 1-5p.m.

WICOM Research


Research in WiCom group has been sponsored by grants from the National Science Foundation, NSF and NASA EPSCOR programs, Kansas Dept. of Transportation (KDoT), Sandia National Labs, Garmin Inc., U.S Marines (M2 Technologies), State of Kansas, Kansas State University Targeted excellence program, KSU Mentoring fellowships and Trisquare Communications.

Research Thrusts (2002 - present)

1. Wireless and Wired Sensor Networks

  • Distributed detection and classification
  • Effect of feedback on system performance
  • Heterogenous sensor fusion
  • Sensor localization and optimal placement
  • Biomedical and veterinary telemedicine applications

2. Crack detection via Imaging sensors

  • Process images of concrete pavements and classify various types of cracks.

3. Ultrawideband and Cognitive Radios

  • dynamic spectrum management
  • spectrum usage modeling and availability prediction
  • designing adaptive spreading sequences for CDMA based cognitive radios
  • Designing precoders for MB-OFDM based UWB system

4. Carrier Interferometry and Multi-carrier Modulation

  • Exploit the classic principles of interferometry in supporting multiple access.
  • Demonstrate the ability of carrier interferometry (CI) technology to support future generation wireless (4G, WLANs, PANs).

5. Multi-carrier implementation of Single-carrier systems (Software Radio Applications)

  • Develop a multi-carrier implementation of any pulse shape and implement an OFDM like transceiver scheme in single-carrier systems.
  • Provide a common hardware platform for software radio applications
  • Emulate these systems to demonstrate performance and throughput benefits.

6. Multi-user Detection in MC-CDMA

  • Develop advanced optimal and blind multiuser detectors (MUD) specifically for MC-CDMA systems.
  • Develop different variants of non-linear MUDs (multi-stage parallel and serial interference cancellers) for MC-CDMA.

7. Optimal Spreading Sequence Design for DS-CDMA and MC-CDMA

  • Employ evolutionary algorithms (e.g., genetic algorithms) to generate theoretically optimum complex spreading sequences.

8. Spread-OFDM performance in the presence of Jamming and Impulse Noise

  • Evaluate the performance of Spread-OFDM (S-OFDM) in the presence of narrowband and wideband jamming and develop anti-jamming signal processing techniques for military applications.
  • Investigate the effects of impulse noise on the performance of S-OFDM and MC-CDMA.

9. Other Applications of Evolutionary Algorithms in Wireless Communications

  • Design optimal multiuser detectors for synchronous and asynchronous DS-CDMA using particle swarm intelligence.
  • Design ultrawideband waveforms with desired spectral characteristics using genetic algorithms.
  • Designing a genetic algorithm based detector for MIMO systems.

10. Application of LDPC Codes in Spread OFDM

  • Design and analysis of regular and irregular low density parity check codes specifically for S-OFDM systems.
  • Optimal design of parity check matrices for S-OFDM systems in multipath channels.