Joseph Tabrikian
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View article: Model Selection via MCRB Optimization
Model Selection via MCRB Optimization Open
In many estimation theory and statistical analysis problems, the true data model is unknown, or partially unknown. To describe the model generating the data, parameterized models of some degree are used. A question that arises is which mod…
View article: Misspecified Cramér-Rao bound for Terahertz automotive radar range estimation
Misspecified Cramér-Rao bound for Terahertz automotive radar range estimation Open
Obtaining detailed information regarding the surrounding environment of a host vehicle is crucial for the operation of autonomous driving and advanced driver assistance systems (ADAS). This necessitates radar systems equipped with high-res…
View article: Asymptotically Tight Bayesian Cramér-Rao Bound
Asymptotically Tight Bayesian Cramér-Rao Bound Open
Performance bounds for parameter estimation play a crucial role in statistical signal processing theory and applications. Two widely recognized bounds are the Cramér-Rao bound (CRB) in the non-Bayesian framework, and the Bayesian CRB (BCRB…
View article: MCRB on DOA Estimation for Automotive MIMO Radar in the Presence of Multipath
MCRB on DOA Estimation for Automotive MIMO Radar in the Presence of Multipath Open
Autonomous driving and advanced active safety features require accurate high-resolution sensing capabilities. Automotive radars are the key component of the vehicle sensing suit. However, when these radars operate in proximity to flat surf…
View article: Barankin-Type Bound for Constrained Parameter Estimation
Barankin-Type Bound for Constrained Parameter Estimation Open
In constrained parameter estimation, the classical constrained Cramer-Rao bound (CCRB) and the recent Lehmann-unbiased CCRB (LU-CCRB) are lower bounds on the performance of mean-unbiased and Lehmann-unbiased estimators, respectively. Both …
View article: Neural Network-Based DOA Estimation in the Presence of Non-Gaussian Interference
Neural Network-Based DOA Estimation in the Presence of Non-Gaussian Interference Open
This work addresses the problem of direction-of-arrival (DOA) estimation in the presence of non-Gaussian, heavy-tailed, and spatially-colored interference. Conventionally, the interference is considered to be Gaussian-distributed and spati…
View article: Neural Network-Based Multi-Target Detection within Correlated Heavy-Tailed Clutter
Neural Network-Based Multi-Target Detection within Correlated Heavy-Tailed Clutter Open
This work addresses the problem of range-Doppler multiple target detection in a radar system in the presence of slow-time correlated and heavy-tailed distributed clutter. Conventional target detection algorithms assume Gaussian-distributed…
View article: In Remembrance of Peter Schultheiss [In Memoriam]
In Remembrance of Peter Schultheiss [In Memoriam] Open
Recounts the career and contributions of Peter Schultheiss.
View article: Table of Contents
Table of Contents Open
Part 2 of this special issue of IEEE Signal Processing Magazine continues with articles regarding the techniques applied in different scenarios by different systems, focusing particularly on some of the new civil and commercial application…
View article: Cram$\acute{\text{e}}$r–Rao Bound for Constrained Parameter Estimation Using Lehmann-Unbiasedness
Cram$\acute{\text{e}}$r–Rao Bound for Constrained Parameter Estimation Using Lehmann-Unbiasedness Open
The constrained Cramer-Rao bound (CCRB) is a lower bound on the\nmean-squared-error (MSE) of estimators that satisfy some unbiasedness\nconditions. Although the CCRB unbiasedness conditions are satisfied\nasymptotically by the constrained …
View article: Performance Analysis for Channel Estimation With 1-Bit ADC and Unknown Quantization Threshold
Performance Analysis for Channel Estimation With 1-Bit ADC and Unknown Quantization Threshold Open
In this work, the problem of signal parameter estimation from measurements\nacquired by a low-complexity analog-to-digital converter (ADC) with $1$-bit\noutput resolution and an unknown quantization threshold is considered.\nSingle-compara…
View article: New Cramer-Rao-Type Bound for Constrained Parameter Estimation.
New Cramer-Rao-Type Bound for Constrained Parameter Estimation. Open
Non-Bayesian parameter estimation under parametric constraints is encountered in numerous applications in signal processing, communications, and control. Mean-squared-error (MSE) lower bounds are widely used as performance benchmarks and f…
View article: Wireless Channel Estimation with Low-Complexity 1-bit ADC and Unknown Quantization Threshold.
Wireless Channel Estimation with Low-Complexity 1-bit ADC and Unknown Quantization Threshold. Open
In this paper, the problem of signal parameter estimation from measurements acquired by a low-complexity analog-to-digital converter (ADC) with $1$-bit output resolution and an unknown quantization threshold is considered. Single-comparato…
View article: Performance analysis for pilot-based 1-bit channel estimation with unknown quantization threshold
Performance analysis for pilot-based 1-bit channel estimation with unknown quantization threshold Open
Parameter estimation using quantized observations is of importance in many\npractical applications. Under a symmetric $1$-bit setup, consisting of a\nzero-threshold hard-limiter, it is well known that the large sample performance\nloss for…