Review on agrophotovoltaic systems with a premise on thermal management of photovoltaic modules therein.

Agrophotovoltaics (APV) is the coexistence of solar photovoltaics (PV) and agriculture on the same piece of land. Although the concept of APV is known for the last two decades, its actual penetration in society is inconsiderable. The objective of the current article is to discuss the various APV systems explored in the past and to highlight the futuristic APVs.

Particle-filter-based phase estimation in digital holographic interferometry.

In this paper, we propose a particle-filter-based technique for the analysis of a reconstructed interference field. The particle filter and its variants are well proven as tracking filters in non-Gaussian and nonlinear situations. We propose to apply the particle filter for direct estimation of phase and its derivatives from digital holographic interferometric fringes via a signal-tracking approach on a Taylor series expanded state model and a polar-to-Cartesian-conversion-based measurement model.

Signal tracking approach for phase estimation in digital holographic interferometry.

In this research work, we introduce a novel approach for phase estimation from noisy reconstructed interference fields in digital holographic interferometry using an unscented Kalman filter. Unlike conventionally used unwrapping algorithms and piecewise polynomial approximation approaches, this paper proposes, for the first time to the best of our knowledge, a signal tracking approach for phase estimation. The state space model derived in this approach is inspired from the Taylor series expansion of the phase function as the process model, and polar to Cartesian conversion as the measurement model.