DocumentCode
3381336
Title
Karhunen-Loeve based adaptive analog/digital subspace beamforming
Author
So, Wilson S. ; Steinhardt, Allan O.
Author_Institution
Sch. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fYear
1992
fDate
7-9 Oct 1992
Firstpage
362
Lastpage
365
Abstract
The authors propose a new hybrid approach in which A/D conversion at the front end of the sensor array is bypassed. They stay in the analog domain and adapt using the coefficients obtained in the truncated Karhunen-Loeve expansion of the received signal. It is demonstrated via computer simulations that for the same subspace dimension, the new approach outperforms the all-digital fully adaptive and the all-digital subspace approach for large time-bandwidth products
Keywords
adaptive filters; array signal processing; adaptive analog/digital subspace beamforming; array processing; computer simulations; sensor array; truncated Karhunen-Loeve expansion; Adaptive arrays; Array signal processing; Bandwidth; Contracts; Covariance matrix; Interference; Kernel; Random processes; Sensor arrays; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246775
Filename
246775
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