2005
DOI: 10.1109/tit.2005.846411
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Achieving the Welch Bound With Difference Sets

Abstract: Consider a codebook containing N unit-norm complex vectors in a K-dimensional space. In a number of applications, the codebook that minimizes the maximal cross-correlation amplitude (Imax) is often desirable. Relying on tools from combinatorial design theory, we construct analytically optimal codebooks meeting, in certain cases, Welch's lower bound. When analytical constructions are not available, we develop an efficient numerical search method based on Lloyd's algorithm, which leads to considerable improvemen… Show more

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Cited by 383 publications
(326 citation statements)
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References 21 publications
(28 reference statements)
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“…Another manifestation of the same problem is in communications and refers to the design of code books that minimize the maximal cross-correlation amplitude (see [13], [18] and references therein). In particular, the rows of the matrix V are codewords, which are taken to have unit norm.…”
Section: Grassmannian Spaces and Code Booksmentioning
confidence: 99%
See 3 more Smart Citations
“…Another manifestation of the same problem is in communications and refers to the design of code books that minimize the maximal cross-correlation amplitude (see [13], [18] and references therein). In particular, the rows of the matrix V are codewords, which are taken to have unit norm.…”
Section: Grassmannian Spaces and Code Booksmentioning
confidence: 99%
“…Designing codes that meet the optimality bound (9) for E max with equality is a difficult problem that is still open for the case of general pairs (n, s), while it has found elegant closed form solutions for special values of (n, s) and complex valued unit norm codewords [18]. On the other hand, designing real valued codes that meet the E rms bound with equality is considered to be an easy problem.…”
Section: Grassmannian Spaces and Code Booksmentioning
confidence: 99%
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“…We consider codebook construction from fast Fourier transform matrices [5], [6]. This class of codewords in the codebook can be thought of as subset of m columns of the N × N FFT matrix [21].…”
Section: A Channel Quantization and Codebook Designmentioning
confidence: 99%