Publication | Closed Access
On Aperiodic-Correlation Bounds
44
Citations
10
References
2009
Year
Theory Of ComputingEngineeringInformation TheoryLow CorrelationsEntropyAlgorithmic Information TheoryLower BoundComputational ComplexityCommunication ComplexityAperiodic-correlation BoundsProbability TheoryComputer SciencePoisson BoundaryLow Aperiodic CorrelationsCoding TheoryStochastic GeometrySignal Processing
We present a new derivation of a lower bound for an <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">aperiodic</i> correlation metric: the integrated sidelobe level (ISL) of a set of sequences under the energy constraint. Sequences (or sequence sets) with low aperiodic correlations are widely demanded in many applications, including radar/sonar range compression, medical imaging, channel estimation and multi-user spread-spectrum communications. While the lower bound has been implicitly discussed in the literature before, here we adopt a different framework to derive the bound. In particular, we make use in the derivation of our recently proposed cyclic algorithm framework, which can also be used to efficiently synthesize unimodular sequences with low correlations. We also show that by relaxing the unimodular constraint, the ISL lower bound can be approached closely.
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