Matchedeld methods are known to have a severe ambiguity problem. In low signal-to-noise-ratios (SNR's), where the estimator cannot distinguish between the ambiguity function peak near the true source location and ambiguous ones, its mean square error deviates radically from the Cramer-Rao lower bound (CRLB). In this paper, the Barankin bound for the source localization problem in an uncertain s...

UNLABELLED Attenuation of photons degrades both the accuracy and the precision of SPECT images; attenuation correction algorithms correct the bias but cannot improve precision. Increased noise due to photon attenuation is most pronounced in regions deep in solid body sections, such as the brain and abdomen. We have quantified the degradation in performance in several estimation tasks that can b...

Channel estimation is challenging for the reconfigurable intelligence surface (RIS) assisted millimeter wave (mmWave) communications. Since number of coefficients cascaded channels in such systems closely dependent on product base station antennas and RIS elements, pilot overhead would be prohibitively high. We propose a channel framework an mmWave multiple-input multiple-output system, where w...

This article concerns the problem of the estimation bound for tracking an extended target observed by a high resolution sensor. Two types of commonly used models for extended targets and the corresponding posterior Cramer-Rao lower bound (PCRLB) are discussed. The first type is the equation-extension model which extends the state space to include parameters such as target size and shape. Thus, ...

This paper presents a novel method for calculating the Hybrid Cramer-Rao lower bound (HCRLB) when the statistical model for the data has a Markovian nature. The method applies to both the non-linear/non-Gaussian as well as linear/Gaussian model. The approach solves the required expectation over unknown random parameters by several one-dimensional integrals computed recursively, thus simplifying...

In this paper, we present a new scenario of direction arrival (DOA) estimation using massive multiple-input multiple-output (MIMO) receive array with low-resolution analog-to-digital convertors (ADCs), which can strike good balance between performance and circuit cost. Based on the linear additive quantization noise model (AQNM), effect ADCs methods, such as Root-MUSIC method, is analyzed. Also...

This paper deals with joint data detection and channel estimation for frequency-selective multiple-input multipleoutput (MIMO) systems with focus on the analysis of the channel estimator. First, we present a scheme alternating between joint Viterbi detection and least squares channel estimation and analyze its performance in terms of unbiasedness. Since in the proposed technique the channel est...