TY - GEN
T1 - Adaptive algorithms for spatial adaptive interference rejection
AU - Rao, Arvind
N1 - Publisher Copyright:
© 2002 IEEE.
PY - 2002
Y1 - 2002
N2 - In the mobile communications field, smart technologies are not only being applied at the antenna level, but also at the receiver (for direction of arrival estimation, detection, diversity combining and equalization) The ultimate benefit of these techniques is to increase cellular capacity and range. Furthermore, with the use of CDMA, where multiaccess interference power is a fundamental capacity limiting factor, adaptive beam forming reveals to be another complementary means for signal-to-interference-plus-noise ratio (SINR) optimization. The problem in this case deals with the formation of a lobe structure that results from the variation of an element-space processing weight vector. The beam forming in such. 'Adaptive Arrays' is controlled by an Adaptive Algorithm, minimizing a particular cost function, ideally directing beams toward the signal of interest and nulls in the direction of interference. In this paper we examine the characteristics of two such algorithms. Least Mean Square (LMS) and Sampled Matrix Inversion (SMI) and discuss a modification in the SMI algorithm to handle some situations.
AB - In the mobile communications field, smart technologies are not only being applied at the antenna level, but also at the receiver (for direction of arrival estimation, detection, diversity combining and equalization) The ultimate benefit of these techniques is to increase cellular capacity and range. Furthermore, with the use of CDMA, where multiaccess interference power is a fundamental capacity limiting factor, adaptive beam forming reveals to be another complementary means for signal-to-interference-plus-noise ratio (SINR) optimization. The problem in this case deals with the formation of a lobe structure that results from the variation of an element-space processing weight vector. The beam forming in such. 'Adaptive Arrays' is controlled by an Adaptive Algorithm, minimizing a particular cost function, ideally directing beams toward the signal of interest and nulls in the direction of interference. In this paper we examine the characteristics of two such algorithms. Least Mean Square (LMS) and Sampled Matrix Inversion (SMI) and discuss a modification in the SMI algorithm to handle some situations.
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U2 - 10.1109/ICPWC.2002.1177303
DO - 10.1109/ICPWC.2002.1177303
M3 - Conference contribution
AN - SCOPUS:84951974710
T3 - IEEE International Conference on Personal Wireless Communications
SP - 326
EP - 329
BT - 2002 IEEE International Conference on Personal Wireless Communications, ICPWC 2002
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Personal Wireless Communications, ICPWC 2002
Y2 - 15 December 2002 through 17 December 2002
ER -