This paper is concerned with the problem of frequency estimation from multiple-snapshot
data. It is well-known that ESPRIT (and spatial-smoothing ESPRIT in presence of coherent …

High-resolution delay-Doppler estimation is an important requirement for automotive radar
systems, especially in multi-target scenarios that require better target separation …

In this chapter we provide an overview of subspace-based parameter estimation schemes
for uniform arrays, non-uniform arrays, and other specific array structures. The popularity of …

In recent years, the sources localization has noticed an increase in research conducted on
the problem of mixed far-field sources (FFSs) and near-field sources (NFSs). The main …

Based on the sum and difference coarrays, multiple-input multiple-output (MIMO) radar with
minimum redundancy (MR) concept, referred to as MR MIMO, can considerably increase the …

In this paper, we present a novel approach to compute ambiguities in thinned uniform linear
arrays, ie, sparse non-uniform linear arrays, via a mixed-integer program. Ambiguities arise …

How to utilize limited resources effectively in a multiple-input multiple-output (MIMO) radar
network plays a critical role in its tracking capability. In this paper, a joint radar target …

The low-angle tracking in multipath interference is a challenging problem for the Very High
Frequency (VHF) radar. The colocated Multi-Input Multi-Output (MIMO) technique can …

This paper addresses the statistical behavior of spatial smoothing subspace DoA estimation
schemes using a sensor array in the case where the number of observations N is …

In this article, we propose two computationally efficient approaches to jointly estimate
direction of arrival (DOA) and carrier for coherent signals using a given single snapshot with …