An evaluation of adaptive-beamforming techniques applied to recorded seismic data. Technical report
The report presents time-domain maximum likelihood adaptive beamforming results for data from the Alaska Long-Period Array and the Korean Short-Period Array. Adaptive-beamforming detection gain relative to beamsteering is investigated for unmixed long-period seismic events in the presence of background noise and for simulated mixed events where two data samples, each containing a signal, are summed to create a composite sample containing an interfering event. In the adaptive beamforming studies for background noise, the performance of two different adaptive algorithms, the effect of using closely-spaced partial arrays instead of the full ALPA array, and the effect of different frequency filters applied to the input channels before array beamforming are examined. In the interfering-event analysis, the relative on-azimuth to off-azimuth event strength at which an on-azimuth event detection is possible determines the detection gain of adaptive multichannel filtering over time-shift-and-sum beamforming.
- Research Organization:
- Texas Instruments, Inc., Dallas (USA)
- OSTI ID:
- 7286384
- Report Number(s):
- AD-A-011849; TI-ALEX-(01)-TR-74-08
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
450300* -- Military Technology
Weaponry
& National Defense-- Nuclear Explosion Detection
ALASKA
ASIA
DATA PROCESSING
EARTHQUAKES
EXPLOSIONS
NORTH AMERICA
NUCLEAR EXPLOSION DETECTION
PACIFIC NORTHWEST REGION
PROCESSING
REPUBLIC OF KOREA
SEISMIC DETECTION
SEISMIC EVENTS
UNDERGROUND EXPLOSIONS
USA