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I.N. Psaromiligkos

Researcher at State University of New York System

Publications -  7
Citations -  147

I.N. Psaromiligkos is an academic researcher from State University of New York System. The author has contributed to research in topics: Adaptive filter & Filter (signal processing). The author has an hindex of 5, co-authored 7 publications receiving 147 citations.

Papers
More filters
Journal ArticleDOI

On adaptive minimum probability of error linear filter receivers for DS-CDMA channels

TL;DR: Numerical and simulation results indicate that for realistic AWGN DS-CDMA systems with reasonably low signature cross-correlations the linear minimum BER filter and the MMSE filter exhibit approximately the same performance.
Journal ArticleDOI

Adaptive robust spread-spectrum receivers

TL;DR: This work considers the problem of robust detection of a spread-spectrum (SS) signal in the presence of unknown correlated SS interference and additive non-Gaussian noise and derives the optimum decision fusion filter for receivers that utilize hard-limiting chip nonlinearities.
Journal ArticleDOI

Rapid combined synchronization/demodulation structures for DS-CDMA systems. I. Algorithmic developments

TL;DR: Two computationally efficient combined synchronization/demodulation schemes are proposed, developed, and analyzed based on the principles of minimum-variance distortionless-response processing and auxiliary-vector filtering, which exhibits enhanced performance in short data-record scenarios.
Journal ArticleDOI

Recursive short-data-record estimation of AV and MMSE/MVDR linear filters for DS-CDMA antenna array systems

TL;DR: A DS-CDMA receiver is proposed that utilizes a simple pilot-assisted algorithm that estimates and then subtracts the desired signal component from the received signal prior to filter estimation and two recursive algorithms for the on-line estimation of the AV and MMSE/MVDR filter are developed and studied.
Journal ArticleDOI

Rapid combined synchronization/demodulation structures for DS-CDMA systems - part II: finite data-record performance analysis

TL;DR: In this paper, the performance of blind adaptive linear self-synchronized receivers for asynchronous direct-sequence code-division multiple-access communications under finite data record adaptation is investigated, leading to analytical expressions that approximate the probability of coarse synchronization error of matched-filter-type and minimum-variance distortionless-response-type receivers.