The performance of most of the classical sound source localization algorithms degrades
seriously in the presence of background noise or reverberation. Recently, deep neural …

Scatter matrix and its normalized counterpart, referred to as shape matrix, are key
parameters in multivariate statistical signal processing, as they generalize the concept of …

The Cramér-Rao bound (CRB) has been extensively used as a benchmark for estimation
performance in both Bayesian and non-Bayesian frameworks. In many practical periodic …

This paper studies an integrated sensing and communication (ISAC) system where a multi-
antenna base station (BS) aims to communicate with a single-antenna user in the downlink …

In constrained parameter estimation, the classical constrained Cram r–Rao bound (CCRB)
and the recent Lehmann-unbiased CCRB (LU-CCRB) are lower bounds on the performance …

We propose a design strategy for optimizing antenna positions in linear arrays for far-field
Direction of Arrival (DoA) estimation of narrow-band sources in collocated MIMO radar. Our …

Tightness remains the primary goal in all modern estimation bounds. For very weak signals,
tightness is enabled by appropriately selecting the prior probability distribution and bound …

It has been shown lately that any" standard" Bayesian lower bound (BLB) on the mean
squared error (MSE) of the Weiss-Weinstein family (WWF) admits a" tighter" form which …

Sensor array geometry has a direct impact on the direction-of-arrival (DOA) estimation of a
seismic signal. In this paper, we design a planar array that aims to optimize the DOA …

An approximate mean square error (MSE) expression for the performance analysis of
implicitly defined estimators of non-random parameters is proposed. An implicitly defined …