Statistics of the MLE and Approximate Upper and Lower Bounds - Part 1: Application to TOA Estimation [PDF]
, 2014 In nonlinear deterministic parameter estimation, the maximum likelihood estimator (MLE) is unable to attain the Cramer-Rao lower bound at low and medium signal-to-noise ratios (SNR) due the threshold and ambiguity phenomena.
Craeye, Christophe +4 more
core +2 more sources
, 2017 Analog-to-digtial (A/D) conversion plays a crucial role when it comes to the design of energy-efficient and fast signal processing systems. As its complexity grows exponentially with the number of output bits, significant savings are possible when ...
Stein, Manuel S.
core +2 more sources
An SNR Estimation Technique Based on Deep Learning
Electronics, 2019 Signal-to-noise ratio (SNR) is a priori information necessary for many signal processing algorithms or techniques. However, there are many problems exsisting in conventional SNR estimation techniques, such as limited application range of modulation types,
Kai Yang +3 more
semanticscholar +1 more source
Optimal Power Allocation for Channel Estimation in MIMO-OFDM System with Per-Subcarrier Transmit Antenna Selection [PDF]
, 2015 A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequency- division multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers.
Rajeswari, K., Thiruvengadam, S. J.
core +2 more sources
Subspace Method-based Blind SNR Estimation for Communication between Orbiters in Mars Exploration
ITM Web of Conferences, 2017 In Mars exploration the effective time of communication between orbiters is short, and the relative distance and gesture between them change fast. The signal to noise ratio (SNR) estimation is required in receiver to change adaptively the data rate in ...
Sun Ze-Zhou +2 more
doaj +1 more source
DOA estimation algorithm based on spread spectrum sequence in low signal-to-noise ratio
EURASIP Journal on Wireless Communications and Networking, 2022 Spread spectrum communication is a common communication method in underwater communication. Based on the space-time processor received by the array, it can filter the signals arriving along each path separately.
Feng Zhou +4 more
doaj +1 more source
Joint Model-Order and Robust DoA Estimation for Underwater Sensor Arrays
Sensors, 2023 The direction-of-arrival (DoA) estimation algorithms have a fundamental role in target bearing estimation by sensor array systems. Recently, compressive sensing (CS)-based sparse reconstruction techniques have been investigated for DoA estimation due to ...
Umar Hamid +2 more
doaj +1 more source
Bayesian Bounds on Parameter Estimation Accuracy for Compact Coalescing Binary Gravitational Wave Signals [PDF]
, 1997 A global network of laser interferometric gravitational wave detectors is projected to be in operation by around the turn of the century. Here, the noisy output of a single instrument is examined.
A. Abramovici +35 more
core +2 more sources
A non-data-aided SNR estimator based on maximum likelihood method for communication between orbiters
EURASIP Journal on Wireless Communications and Networking, 2020 Signal-to-noise ratio (SNR) is an important metric for performance assessment in numerous scenerios. In order to ensure the reliability and effectiveness of the system performance, plenty of situations require the information of SNR estimate. At the same
Zezhou Sun, Xin Gong, Fan Lu
doaj +1 more source
Sensitivity and parameter-estimation precision for alternate LISA configurations [PDF]
, 2008 We describe a simple framework to assess the LISA scientific performance (more specifically, its sensitivity and expected parameter-estimation precision for prescribed gravitational-wave signals) under the assumption of failure of one or two inter ...
Arnaud K A +15 more
core +2 more sources