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Array Signal Processing: Concepts and Techniques

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TLDR
This chapter discusses how signals in Space and Time and apertures and Arrays affect Array Processing and the role that symbols play in this processing.
Abstract
1. Introduction 2. Signals in Space and Time 3. Apertures and Arrays 4. Conventional Array Processing 5. Detection Theory 6. Estimation Theory 7. Adaptive Array Processing 8. Tracking Appendices References List of Symbols Index.

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Test Results of a Digital Beamforming GPS Receiver in a Jamming Environment

Alison Brown, +1 more
TL;DR: In this paper, the authors describe the operation of a high gain advanced GPS receiver (HAGR) in a jamming environment and include test data collected from the HAGR at the Electronic Proving Grounds, Fort Huachuca, that demonstrate the performance of a digital, beam-steering receiver against interference sources.
Journal ArticleDOI

Relative Height Estimation by Cross-Correlating Ground-Range Synthetic Aperture Sonar Images

TL;DR: In this article, the relative height of the seafloor can be estimated by using two vertically displaced receivers by using synthetic aperture sonar (SAS) imaging, which implies coherent addition of complex images acquired from a moving platform.
Proceedings ArticleDOI

Performance analysis of minimum variance CDMA receivers

TL;DR: It is shown that the performance of the proposed method approaches that of the MMSE receiver at high SNR, while the constraint parameters converge to the multipath channel parameters.
Journal ArticleDOI

MVDR Beamforming for Through-the-Wall Radar Imaging

TL;DR: The paper considers both cases of known and unknown wall parameters and uses manifold constraints to allow target localization in high-definition imaging in the presence of wall errors and shows how to effectively use the spatial spectrum to improve covariance matrix estimation and subsequently enhance image quality in the sense of lower sidelobes.
Journal ArticleDOI

Seismic Envelope‐Based Detection and Location of Ground‐Coupled Airwaves from Volcanoes in Alaska

TL;DR: In this article, a modified envelope function is proposed to enhance the signal-to-noise ratio and emphasize both high energies and energy contrasts within a spectrogram, which can be used to detect, locate, characterize, and monitor volcanic eruptions, particularly in difficult to monitor regions.
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