Publications
Wideband aperture coherence processing for next generation radar (NexGen)
Summary
Summary
This report develops robust signal processing architectures and algorithms specifically designed to achieve multi-aperture coherence on transmit and receive. A key feature of our approach is the use of orthogonal radar waveforms that allow the monostatic and bistatic target returns to be separated at each receiver's matched filter output. By...
Group membership: a novel approach and the first single-round algorithm
Summary
Summary
We establish a new worst-case upper bound on the Membership problem: We present a simple algorithm that is able to always achieve Agreement on Views within a single message latency after the final network events leading to stability of the group become known to the membership servers. In contrast, all...
Next-generation technologies to enable sensor networks
Summary
Summary
Examples are advances in ground moving target indicator (GMTI) processing, space-time adaptive processing (STAP), target discrimination, and electronic counter-countermeasures (ECCM). All these advances have improved the capabilities of radar sensors. Major improvements expected in the next several years will come from exploiting collaborative network-centric architectures to leverage synergies among individual...
LLiST - a new star tracker camera for tip-tilt correction at IOTA
Summary
Summary
The tip-tilt correction system at the Infrared Optical Telescope Array (IOTA) has been upgraded with a new star tracker camera. The camera features a backside-illuminated CCD chip offering doubled overall quantum efficiency and a four times higher system gain compared to the previous system. Tests carried out to characterize the...
The orthogonal-transfer array: a new CCD architecture for astronomy
Summary
Summary
The orthogonal-transfer array (OTA) is a new CCD architecture designed to provide wide-field tip-tilt correction of astronomical images. The device consists of an 8..8 array of small (~500x500 pixels) orthogonal-transfer CCDs (OTCCD) with independent addressing and readout of each OTCCD. This approach enables an optimum tip-tilt correction to be applied...
A high-power MEMS electric induction motor
Summary
Summary
An electric induction micromotor with a 4-mm-diameter rotor was designed and built for high-power operation. Operated at partial actuating voltage, the motor has demonstrated an air gap power in excess of 20 mWand torque of 3 5 Nmat speeds in excess of 55 000 rpm. Operation at higher power and...
Dynamic response of an electronically shuttered CCD imager
Summary
Summary
The dynamic response of an electronically shuttered charge-coupled device (CCD) imager to nanosecond voltage pulses has been investigated. Measurements show that the shutter can be dynamically opened and closed in nanosecond times. For the shutter opening, simulations indicate that the collection of photoelectrons occurs in times much shorter than that...
Channel compensation for SVM speaker recognition
Summary
Summary
One of the major remaining challenges to improving accuracy in state-of-the-art speaker recognition algorithms is reducing the impact of channel and handset variations on system performance. For Gaussian Mixture Model based speaker recognition systems, a variety of channel-adaptation techniques are known and available for adapting models between different channel conditions...
Fusing discriminative and generative methods for speaker recognition: experiments on switchboard and NFI/TNO field data
Summary
Summary
Discriminatively trained support vector machines have recently been introduced as a novel approach to speaker recognition. Support vector machines (SVMs) have a distinctly different modeling strategy in the speaker recognition problem. The standard Gaussian mixture model (GMM) approach focuses on modeling the probability density of the speaker and the background...
Dialect identification using Gaussian mixture models
Summary
Summary
Recent results in the area of language identification have shown a significant improvement over previous systems. In this paper, we evaluate the related problem of dialect identification using one of the techniques recently developed for language identification, the Gaussian mixture models with shifted-delta-cepstral features. The system shown is developed using...