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Nonlinear multiuser parameter estimation and tracking in CDMA systems
2000 Edition, Volume 48, December 1, 2000 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a joint channel coefficient and time-delay tracking technique for code-division multiple-access (CDMA) systems. Due to the highly nonlinear nature of time delay estimation, an iterative nonlinear filtering algorithm, called the...

A Time-Domain Approach to Channel Estimation and Equalization for the SC-FDM System
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Similar to orthogonal frequency division multiplexing receiver, the frequency-domain (FD) channel estimation (CE) and equalization are indispensable parts in the coherent single carrier frequency division multiplexing (SC-FDM) receiver. When the channel varies slowly,...

Channel, Phase Noise, and Frequency Offset in OFDM Systems: Joint Estimation, Data Detection, and Hybrid Cramér-Rao Lower Bound
2014 Edition, Volume 62, September 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Oscillator phase noise (PHN) and carrier frequency offset (CFO) can adversely impact the performance of orthogonal frequency division multiplexing (OFDM) systems, since they can result in inter carrier interference and rotation of the signal constellation. In this paper, we...

A cramér-rao bound for multidimensional discrete-time dynamical systems
1980 Edition, Volume 25, February 1, 1980 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this note a mean-square error lower bound for the discrete-time nonlinear filtering problem is derived based on Cramér-Rao theory. The lower bound is applicable to multidimensional nonlinear dynamical systems and...

Weiss–Weinstein Lower Bounds for Markovian Systems. Part 1: Theory
2007 Edition, Volume 55, May 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Being essentially free from regularity conditions, the Weiss-Weinstein estimation error lower bound can be applied to a larger class of systems than the well-known Crameacuter-Rao lower bound. Thus, this bound is of...

Theoretical performance bounds for reduced-order linear and nonlinear distributed estimation
2012 Edition, December 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In sensor networks deployed over large-scale, multidimensional physical systems with limited spatial observability, reduced-order, distributed estimation is a practical alternative to centralized estimation. For such reduced-order systems, centralized...

Spintronic In-Memory Pattern Matching Using Computational RAM (CRAM)
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Traditional Von Neumann computing is falling apart in the era of exploding data volumes as the overhead of data transfer becomes forbidding. Instead, it is more energyefficient to fuse compute capability with memory where the data reside. This is particularly critical...

In-Memory Processing on the Spintronic CRAM: From Hardware Design to Application Mapping
2019 Edition, Volume 68, August 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The Computational Random Access Memory (CRAM) is a platform that makes a small modification to a standard spintronics-based memory array to organically enable logic operations within the array. CRAM provides a true in-memory computational platform that can...

Multistatic Localization in the Absence of Transmitter Position
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A multistatic system uses a transmitter to illuminate the object of interest and collects the reflected signal by a number of receivers to determine its location. In some scenario such as passive coherent localization or for gaining flexibility, the position of...

Quadrature Filters for Underwater Passive Bearings-Only Target Tracking
2015 Edition, September 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A typical underwater passive bearings-only target tracking problem is solved using nonlinear filters namely cubature Kalman filter (CKF), Gauss-Hermite filter (GHF) and sparse-grid Gauss-Hermite filter (SGHF). The performance of the filters is compared in terms of...

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