1999
DOI: 10.1049/el:19990567
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Class of binary sequences with zero correlationzone

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Cited by 318 publications
(122 citation statements)
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“…Without loss of generality, we assume , . Let denote a second-order Hadamard matrix (5) Let denote Kronecker product operation, we have sequences of length 2NP as (6). It can be proved that the even shifted ACF sidelobes and CCFs of and are zeros when .…”
Section: Generalized Even Shift Orthogonal-like Sequencesmentioning
confidence: 99%
See 1 more Smart Citation
“…Without loss of generality, we assume , . Let denote a second-order Hadamard matrix (5) Let denote Kronecker product operation, we have sequences of length 2NP as (6). It can be proved that the even shifted ACF sidelobes and CCFs of and are zeros when .…”
Section: Generalized Even Shift Orthogonal-like Sequencesmentioning
confidence: 99%
“…It has been shown in [5] that a unitary code set can never give ideal cross-correlation and autocorrelation properties. In other words, interference-free windows (IFWs) or ZCZ for any unitary codes will never be equal to its code length.…”
mentioning
confidence: 99%
“…Therefore, sequences with good autocorrelation and cross-correlation functions play an important role in the design of CDMA systems. Sets of sequences having ideal correlation properties, impulse-like autocorrelation, and zero cross-correlation functions in a specified zone are called zero-correlation zone (ZCZ) sequences [1]. ZCZ codes have been employed in diverse wireless systems, such as sonar sensor network, multiple input multiple output, orthogonal frequency division multiplexing, local positioning systems, and ultrasonic imaging [2][3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, a simple iterative reconstruction method is employed to compensate the distortion at the DN. Secondly, we derive a couple of optimal zero-correlation zone (ZCZ) relay-assisted sequences designed to eliminate the MAI and minimize the MSE when estimating the secondhop (R 1 −D, R 2 −D) channel [20,21]. At the DN, the received signals from each relay node are combined to achieve spatial diversity and enhance data reliability.…”
Section: Introductionmentioning
confidence: 99%