SUB-NYQUIST COPRIME SENSING WITH COMPRESSED INTER-ELEMENT SPACING - LOW LATENCY APPROACH

Abstract
One of the generalizations of the coprime array is the Coprime Array with Compressed Inter-element Spacing (CACIS), which is characterized by inter-element spacing that could be varied. The prototype co-prime arrays and nested arrays are a special case of the CACIS scheme.This paper addresses the aspects that were not considered in previous researches in the given context. The fundamentals of the difference set for the CACIS configuration are developed for low latency. In addition, the closed-form expressions for the weight function (number of samples that contribute to estimate the autocorrelation), and the bias window of the correlogram estimate, which were previously unknown, are derived. Ideally, the bias window should be an impulse. Several examples are provided along with simulations to verify the claims made. All possible sample pairs are used for estimation, which provides for low latency. As an application, temporal spectrum is considered for simulations.

Authors
Usham V Dias
Indian Institute of Technology Delhi, India

Keywords
Co-Prime Arrays, Samplers, Sparse Sensing, Autocorrelation Estimation, Low Latency
Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 11 , Issue: 1 )
Date of Publication :
March 2020
DOI :

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