Abstract

Stochastic waveforms are constructed whose expected autocorrelation can be made arbitrarily small outside the origin. These waveforms are unimodular and complex-valued. Waveforms with such spike like autocorrelation are desirable in waveform design and are particularly useful in areas of radar and communications. Both discrete and continuous waveforms with low expected autocorrelation are constructed. Further, in the discrete case, frames for Cd are constructed from these waveforms and the frame properties of such frames are studied.

Highlights

  • MotivationDesigning unimodular waveforms with an impulse-like autocorrelation is central in the general area of waveform design, and it is relevant in several applications in the areas of radar and communications

  • Stochastic waveforms are constructed whose expected autocorrelation can be made arbitrarily small outside the origin

  • These waveforms are unimodular and complex-valued. Waveforms with such spike like autocorrelation are desirable in waveform design and are useful in areas of radar and communications

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Summary

Motivation

Designing unimodular waveforms with an impulse-like autocorrelation is central in the general area of waveform design, and it is relevant in several applications in the areas of radar and communications. Instead of aperiodic waveforms that are defined on , in some applications, it might be useful to construct periodic waveforms with similar vanishing properties of the autocorrelation function. Comparison between periodic and aperiodic autocorrelation can be found in [15] Frame properties of frames constructed from these stochastic waveforms are discussed. This is motivated by the fact that frames have become a standard tool in signal processing. A mathematical characterization of CAZACs in terms of finite unit-normed tight frames (FUNTFs) has been done in [2]

Notation and Mathematical Background
Outline
Construction of Discrete Stochastic Waveforms
Construction from Gaussian Random Variables
E AX k e
E AX k e 22
AX k E AX k 2 E AX k 2
E AX k 2
Higher Dimensional Case
Remark on the Periodic Case
E e e n 1
E Ax s x t dt
Frames in 2
Conclusion
Full Text
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