2016
DOI: 10.1109/tvt.2016.2550083
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Phase-Detection-Based Range Estimation With Robust Chinese Remainder Theorem

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Cited by 14 publications
(19 citation statements)
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“…We have conducted experiments on a hardware platform, and the results show that the DIFM technique which is based on the proposed algorithms can measure the carrier frequency from 0 to 5,000 MHz with a maximum of 0.8 MHz RMSE in less than 200 ns. Besides, the proposed deblurring algorithm can also be applied in phase unwrapping [24], DOA estimation [25], and SAR [26] as CRT.…”
Section: Introductionmentioning
confidence: 99%
“…We have conducted experiments on a hardware platform, and the results show that the DIFM technique which is based on the proposed algorithms can measure the carrier frequency from 0 to 5,000 MHz with a maximum of 0.8 MHz RMSE in less than 200 ns. Besides, the proposed deblurring algorithm can also be applied in phase unwrapping [24], DOA estimation [25], and SAR [26] as CRT.…”
Section: Introductionmentioning
confidence: 99%
“…Localization of nodes [3], [5] and frequency estimation [4] are two fundamental problems in sensor networks. Due to the restriction on precise synchronization and hardware resources such as high-rate analog to digital converters (ADC), the phase detection based ranging methods and sub-Nyquist sampling are two important approaches used in these kinds of applications.…”
Section: Introductionmentioning
confidence: 99%
“…Here X i m l denotes the residue of X i modulo m l and 1 is the indicator function. Similarly, in a localization system [3], [5], {X i } stand for the distances and {m l } denote the wavelengths, respectively. In a nutshell, addressing the ambiguity problems is equivalent to recover X i with the residue sets, {r il }, which is a generalized Chinese Remainder Theorem (CRT) problem.…”
Section: Introductionmentioning
confidence: 99%
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“…It is widely used in the calculation of large integers, because it allows replacing a calculation for which one knows a bound on the size of the result by several similar computations on small integers. The CRT has many applications in various areas, like secret sharing [3,4], the RSA decryption algorithm [13], the discrete logarithm algorithm [14], and the radio interferometric positioning system [15], etc.…”
Section: Introductionmentioning
confidence: 99%