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Cramér-Rao Bound Study of Multiple Scattering Effects in Target Separation Estimation
Published 2013-01-01“…The information about the distance of separation between two-point targets that is contained in scattering data is explored in the context of the scalar Helmholtz operator via the Fisher information and associated Cramér-Rao bound (CRB) relevant to unbiased target separation estimation. …”
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Three-Dimensional Target Localization and Cramér-Rao Bound for Two-Dimensional OFDM-MIMO Radar
Published 2017-01-01“…Then, the 3D target localization proposal is presented and the corresponding closed-form expressions of Cramér-Rao bound (CRB) are derived. Furthermore, for mitigating the coupling of angle and range and further improving the estimation precision, a CRB optimization method is proposed. …”
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Coherent parameters estimation and coherent performance analysis for distributed aperture coherent radar
Published 2015-03-01Subjects: Get full text
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Cramér-Rao Bound Analysis of Spatial Effects in 2D TOA Localization With Directive Antennas
Published 2025-01-01Subjects: “…Cramér-Rao bound…”
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Transmitter selection and receiver placement for target parameter estimation in cooperative radar‐communications system
Published 2022-09-01Subjects: “…Cramer–Rao bound…”
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Decision-aided-based multiple blind PN code estimation algorithm of asynchronous CDMA signal
Published 2020-08-01Subjects: Get full text
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Parallel time-delay estimation algorithm for GMSK mixing signals
Published 2011-01-01Subjects: Get full text
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Robust algorithm for gain-and-phase errors estimation against the direction deviations of calibration sources
Published 2012-06-01Subjects: Get full text
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Single‐step geolocation for a non‐circular source in the presence of satellite orbit perturbations
Published 2022-04-01Subjects: Get full text
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Carrier initial phases estimation for single-channel adjacent-frequency mixture of digitally modulated signals
Published 2016-10-01Subjects: Get full text
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Cooperative localization algorithm based on time-ofarrival in wireless senor network
Published 2019-01-01Subjects: Get full text
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Maximum likelihood self-calibration for direction-dependent gain-phase errors with carry-on instrumental sensors:case of deterministic signal model
Published 2011-01-01Subjects: Get full text
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Secrecy-Constrained UAV-Mounted RIS-Assisted ISAC Networks: Position Optimization and Power Beamforming
Published 2025-01-01Subjects: Get full text
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Moving source geolocation algorithm and performance analysis using dual-satellites sequence measurements and calibration sources
Published 2015-10-01Subjects: Get full text
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DOA Estimation for Sources with Large Power Differences
Published 2021-01-01“…The Cramer–Rao bound of the weak source deteriorates as the power of the strong source increases. …”
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Joint estimation of interference frequency offset and time delay in PCMA system
Published 2017-02-01“…For cooperative received high-order modulation PCMA (paired carrier multiple access) signals,joint estima-tion of frequency offset and time delay was proposed.The sequence samples stored locally were used as auxiliary data.Estimation of frequency offset and time delay was calculated by optimizing the objective function,which was obtained from the cross-correlation computation of the auxiliary data and mixed signal,and the optimized process was accom-plished by utilizing two-dimensional search.By setting the threshold of joint estimation,the calculated amount was greatly reduced.Modified Cramer-Rao bound (MCRB) of interference frequency offset and time delay was derived,which provided theoretical basis for performance of the proposed algorithm.Simulation results show that the algorithm has similar performance with existing algorithms,but its complexity is reduced by two-thirds.…”
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Study of multiple frequency-offset and channel joint ML estimation over virtual multi-antennas OFDM system
Published 2010-01-01“…A pilot-aided joint estimation of the carrier frequency offsets(CFO) and channels of a virtual multi-anten-nas(VMA) orthogonal frequency-division multiple(OFDM) system was considered.For a VMA-OFDM system,each pair of transmit and receive antennas possibly having a different CFO and CIR(channel impulse response) parameters made the parameters joint estimation a challenge task.By utilizing the series expansion of the matrix inversion and maximum likelihood(ML) criterion,a computationally efficient estimator allowing for simultaneously estimating the unknown pa-rameters was developed.The mean square-error(MSE) performance of the interested parameters for the proposed estima-tor was compared with the Cramer-Rao bound(CRB).In addition,the pilot sequence design was investigated by analysis and simulations.Simulation results show that the proposed low-complexity estimator asymptotically achieves the CRB and overcomes the drawbacks of existing estimators.…”
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Novel method for joint parameter estimation based on FPSD in wideband bistatic MIMO radar system
Published 2014-06-01“…Furthermore, the cramér-rao bound (CRB) for target parameters estimation of wideband signal model was derived. …”
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Direction of Arrival Estimation Accuracy Enhancement via Using Displacement Invariance Technique
Published 2015-01-01“…The DOAE accuracy has been verified by closed-form Cramér-Rao bound (CRB). The simulation results of the proposed algorithm are better than those of the previous estimation techniques leading to the estimator performance enhancement.…”
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Robust Localization in Distributed MIMO Radar Using Delay and Angle Measurements with Impulsive Noise Robust TD/AOA Localization in Impulsive Noise
Published 2021-01-01“…Firstly, the TD and AOA measurement equations are established in the presence of zero-mean symmetric α-stable noise; then, the localization problem is transformed to a ℓp-norm minimization problem by linearizing the measurement equations; and finally, the ℓp-norm minimization problem is solved using IRLS by which the target position estimate is obtained, and the optimal choice of norm order p is deduced. Moreover, the Cramér–Rao bound (CRB) for target position estimation in impulsive noise is also derived, generalizing the Gaussian CRB. …”
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