11 accepted papers
Commercial Microwave Links (CMLs) offer dense spatial coverage for rainfall sensing but produce path-integrated measurements that make accurate ground-level reconstruction challenging. Existing methods typically oversimplify CMLs as point sensors and neglect the physical power-law relating rainfall …
This paper proposes a cognitive beamforming method for target tracking using multiple-input multiple-output (MIMO) radar. This method minimizes a Bayesian performance criterion on direction-of-arrival (DOA) estimation error with respect to the transmit signal auto-correlation matrix. Traditionally,…
We introduce the Generative Barankin Bound (GBB), a learned Barankin Bound, for evaluating the achievable performance in estimating the direction of arrival (DOA) of a source in non-asymptotic conditions, when the statistics of the measurement are unknown. We first learn the measurement distribution…
The Misspecified Cramér-Rao lower bound (MCRB) provides a lower bound on the performance of any unbiased estimator of parameter vector θ under model misspecification. An approximation of the MCRB can be numerically evaluated using a set of i.i.d samples of the true distribution at θ. However, obtain…
Real-time analysis and forecasting of rain-induced attenuation patterns in terrestrial microwave links has gained increasing attention in the field of communication and meteorology, enabling preparation for upcoming events. This paper presents an empirical study of model-based and data-driven techni…
Modern infrastructures support smart-city operations, which are based on short millimeter-waves wireless links connected by a dense network. These links are sensitive to hydrometeors, and their signals attenuated by rain. In this study, we demonstrate that standard signal-level measurements being co…
In this paper we apply statistical signal processing methodologies on a real-world application of using Commercial Microwave Links (CMLs) as opportunistic sensors for rain monitoring. We formulate an appropriate parameter estimation problem, taking advantage on the empirically evaluated statistics o…
A Power-Law relation between attenuation and rain rate has proven to be a useful tool in wireless network design at microwave and mmWave frequencies. In the last decade this relation has also been used for estimating rain from signal level measurements in Commercial Microwave Links (CMLs). In this p…
Cellular backhaul networks usually consist of commercial microwave links, known to be sensitive to weather conditions. The management network systems usually provide records of measurements of the transmitted and the received signals levels from the different microwave links for monitoring and analy…
A common way to describe the relation between rain-rate R [mm/h] and attenuation A [dB] in radio signal is the Power-Law A = aRb, where a and b are the Power-Law parameters, which depend on the radio signal (frequency, polarization) and on some properties of the specific environmental conditions. Th…
Atmospheric conditions are known to affect the Received Signal Level (RSL) in commercial microwave links (MWLs), that operate at frequencies of tens of GHz. Study of these effects is of great importance both for communication engineers and for environmental monitoring. In this paper we study the phe…