scispace - formally typeset
Journal ArticleDOI

Robust time delay estimation with unknown cyclic frequency in co-channel interference and impulsive noise

Reads0
Chats0
TLDR
A robust TDE method equipped with a nonlinear function can deal with impulsive noise and performs well compared to the traditional methods in Gaussian noise.
About
This article is published in Digital Signal Processing.The article was published on 2021-10-01. It has received 6 citations till now. The article focuses on the topics: Gaussian noise & Noise.

read more

Citations
More filters
Journal ArticleDOI

Super-resolution time delay estimation using exponential kernel correlation in impulsive noise and multipath environments

TL;DR: In this article , a super-resolution time delay estimation (TDE) method is proposed by using the defined exponential kernel correlation (EKC) function to suppress the non-Gaussian impulsive noise.
Journal ArticleDOI

An Improved Time Delay Measurement Method for the Long-Distance Underwater Environment

TL;DR: In this article , the authors proposed an improved high-accuracy time delay measuring method for long distance underwater channel propagation, where the encoded signal is sent at the receiving end and bandpass filtering is carried out at the sending end.
Journal ArticleDOI

Time delay estimation method based on generalized logarithmic hyperbolic secant function in impulsive noise

TL;DR: In this paper , a generalized logarithmic hyperbolic secant (GLHS) function is introduced that can effectively suppress impulsive noise while guarding the signal of interest from damage.
Journal ArticleDOI

Wind Speed and Direction Measurement Based on Three Mutually Transmitting Ultrasonic Sensors

TL;DR: In this paper , a three mutually transmitting ultrasonic sensors wind measurement method was proposed, which uses the cyclic correlation time delay estimation algorithm for ultrasonic transmission time estimation, and then obtains wind speed and direction values based on the relationship between ultrasonic transmit time and wind vector.
Journal ArticleDOI

Robust Localization for Near- and Far-Field Signals with an Unknown Number of Sources

TL;DR: In this paper , a novel method based on phased fractional lower-order moment (PFLOM) is proposed to simultaneously better preserve the signal and suppress the noise, and the whole procedure of the method containing direction of arrival (DOA) estimation, range estimation, separation of near and far-field sources, and crucial parameter settings are studied in detail.
References
More filters
Journal ArticleDOI

The generalized correlation method for estimation of time delay

TL;DR: In this paper, a maximum likelihood estimator is developed for determining time delay between signals received at two spatially separated sensors in the presence of uncorrelated noise, where the role of the prefilters is to accentuate the signal passed to the correlator at frequencies for which the signal-to-noise (S/N) ratio is highest and suppress the noise power.
MonographDOI

Stable Non-Gaussian Random Processes : Stochastic Models with Infinite Variance

TL;DR: In this paper, the authors introduce sample path properties such as boundedness, continuity, and oscillations, as well as integrability, and absolute continuity of the path in the real line.
Book

One-dimensional stable distributions

TL;DR: In this article, the authors present examples of stable laws in applications, including analytical properties of the distributions in the family, special properties of laws in the class, and estimators of the parameters of stable distributions.
Journal ArticleDOI

Correntropy: Properties and Applications in Non-Gaussian Signal Processing

TL;DR: This paper elucidate further the probabilistic and geometric meaning of the recently defined correntropy function as a localized similarity measure and a close relationship between corrent entropy and M-estimation is established.
Journal ArticleDOI

Signal processing with fractional lower order moments: stable processes and their applications

TL;DR: A tutorial review of the basic characteristics of stable distributions and stable signal processing is presented, focusing on the differences and similarities between stable signal processors based on fractional lower-order moments and Gaussian signal processing methods based on second-order Moments.
Related Papers (5)