Pulse or digital communications – Receivers
Reexamination Certificate
2007-08-29
2008-11-04
Bocure, Tesfaldet (Department: 2611)
Pulse or digital communications
Receivers
C375S346000, C375S347000
Reexamination Certificate
active
07447276
ABSTRACT:
A receiver estimates noise power and establishes a false alarm detector threshold. The receiver includes an antenna array having a plurality of antenna subarrays on which multiple communications signals are received over a communications channel. At least one channelizer splits the communications signal into multiple frequency sub-bands per subarray, each having a channel output. At least one noise estimator and detector is operative at the channel outputs for estimating noise power and setting a detector threshold used in detecting false alarms by forming a temporal covariance matrix on each channel output, performing an eigenvalue decomposition on the temporal covariance matrix, selecting candidate channels using the eigenvalue spread per channel, computing a noise power estimate from the candidate channels and setting a detector threshold for detecting false alarms based on the noise power estimate.
REFERENCES:
patent: 5262789 (1993-11-01), Silverstein
patent: 6240098 (2001-05-01), Thibault et al.
patent: 6567462 (2003-05-01), Brunner et al.
patent: 6711528 (2004-03-01), Dishman et al.
patent: 6993460 (2006-01-01), Beadle et al.
patent: 7062277 (2006-06-01), Rudowicz
patent: 7076001 (2006-07-01), Beadle et al.
patent: 7184457 (2007-02-01), Schmidl et al.
patent: 7187326 (2007-03-01), Beadle et al.
patent: 7263208 (2007-08-01), Crosby et al.
patent: 2006/0269017 (2006-11-01), Beadle et al.
patent: 2006/0269027 (2006-11-01), Beadle et al.
Chang et al., “A Matrix-Pencil Approach to Blind Separation of Colored Nonstationary Signals,” IEEE Transactions on Signal Processing, vol. 48, No. 3, Mar. 2000, pp. 900-907.
Parra et al., “Blind Source Separation via Generalized Eigenvalue Decomposition,” Journal of Machine Learning Research 4 (2003), pp. 1261-1269.
Steven M. Kay, Modern Spectral Estimation: Theory and Application, Prentice Hall, Jan. 1988, Section 13.9—Noise Subspace Frequency Estimation, pp. 429-431.
Dan et al., “On the Blind SNR Estimation for IF Signals,” Proceedings of the First International Conference on Innovative Computing, Information and Control, IEEE, 2006, 4 pages.
Pauluzzi et al., “A Comparison of SNR Estimation Techniques for the AWGN Channel,” IEEE Transactions on Communications, vol. 48, No. 10, Oct. 2000, pp. 1681-1691.
Lee et al., “Joint Estimation of the Space-Time Distributed Signal Parameters,” IEEE, Vehicular Technology Conference (VTC) 2000, pp. 822-828.
Benedict et al., “The Joint Estimation of Signal and Noise from the Sum Envelope,” IEEE Transactions on Information Theory, vol. IT-13, No. 3, Jul. 1967, pp. 477-454.
Beaulieu et al., “Comparison of Four SNR Estimators for QPSK Modulations,” IEEE Communications Letters, vol. 4, No. 2, Feb. 2000, pp. 43-45.
Celandroni et al., “Quality Estimation of PSK Modulated Signals,” IEEE Communications Magazine, Jul. 1997, pp. 50-55.
Matzner, “An SNR Estimation Algorithm for Complex Baseband Signals Using Higher Order Statistics,” Electronics and Energetics, vol. 6, No. 1, 1993, pp. 41-52.
Allen Dyer Doppelt Milbrath & Gilchrist, P.A.
Bocure Tesfaldet
Harris Corporation
LandOfFree
Receiver and method for blind adaptive thresholding using... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Receiver and method for blind adaptive thresholding using..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Receiver and method for blind adaptive thresholding using... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4027600