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Technical Session 5: Emerging Technologies

  • Cochair: Dr. Mark Davis, Air Force Research Laboratory
  • Cochair: Dr. Ed Chornoboy, MIT/Lincoln Laboratory

Wednesday Morning April 24, 2002

5.1:
Nonlinear Synthetic Wideband Waveforms
 
5.2:
Highly Bandlimited Radar Signals
 
5.3:
Development of a Chaotic Signal Radar System for Vehicular Collision-Avoidance
 
5.4:
Airborne Sensor Concept to Image Shallow-Buried Targets
5.1 Nonlinear Synthetic Wideband Waveforms
By: Daniel J. Rabideau
 
MIT Lincoln Laboratory		Abstract: Radars commonly use wide bandwidth pulses to attain high range resolution. However, when such wideband pulses are unavailable (or otherwise undesirable), high range resolution can still be achieved by coherently combining a sequence of narrowband pulses spanning the desired bandwidth. Collectively, such narrowband pulse sequences are said to compose a "synthetic wideband waveform" (specific variants are also known by the names "stopped frequency waveform," "frequency jump burst," and "frequency jump train.") Prior publications and reports have examined synthetic wideband waveforms that distribute energy uniformly over the frequency band. Such waveforms require heavy spectral weighting, highly overlapped pulses, and/or nonperiodic pulses to control range sidelobes and grating lobes; unfortunately, undesirable attributes are associated with each of these. In this paper, we formulate synthetic waveforms that distribute energy non-uniformly over the desired frequency band. These new waveforms are shown to offer improved performance (i.e., lower range sidelobes, higher gain, higher range resolution, and/or reduced grating lobes) when compared with traditional approaches.
5.2 Highly Bandlimited Radar Signals
By: Richard Chen and Ben Cantrell
 
Naval Research Laboratory		Abstract: This paper describes a method for generating highly bandlimited or spectrally clean signals and investigates an amplification scheme for physically realizing such signals. The method for generating spectrally clean signals involves interpolating discrete-time signals with Gaussian-windowed sinc functions to obtain highly bandlimited continuous-time signals. Using this technique, spectrally clean continuous-time signals were obtained which are reasonably efficient and have desirable autocorrelation functions as well as being bandlimited. The modulation technique is illustrated with several examples using the thirteen bits Barker code. The amplifier configuration known as LINC (linear amplification using nonlinear components) is proposed as a means of generating spectrally clean signals.
5.3 Development of a Chaotic Signal Radar System for Vehicular Collision-Avoidance
By: Yoshihisa Hara, Teruyuki Hara, Takashi Seo, Hajime Yanagisawa, Paul Ratliff, and Wojciech Machowski
 
Mitsubishi Electric Corp.		Abstract: The paper describes the development of a new type of radar system called Chaotic Signal Radar (CSR), which utilizes truly random signals for the modulation and a novel Implicit Sampling Averaging algorithm in the receiver. The paper presents the results of simulation study in conjunction with the real measurements using a prototype CSR.
5.4 Airborne Sensor Concept to Image Shallow-Buried Targets
By: William M. Aubry, Robert J. Bonneau, Russell D. Brown, E. Douglas Lynch, Michael C. Wicks
 
Air Force Research Laboratory
and: Richard A. Schneible
 
Research Associates for Defense Conversion
and: Alan D. George, Michael A. Krumme
 
Black River Systems		Abstract: This paper develops an airborne sensor concept to detect and image shallow-buried targets with a focus on the remote sensing of landmines. Our ongoing ground-based bistatic ground-penetrating radar (GPR) experiments have demonstrated deep penetration and sub-wavelength resolution. Simulation software (Ground Penetrating Radar Processing - GPRP) was developed and validated using experimental results. Extrapolation of the experimental results to higher frequencies using the simulation software indicates the ability to provide high-quality images of shallow-buried targets

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