The paper considers the multipath signal and noise reduction problem in passive radar. A unified framework is provided for joint of signals both Gaussian non-Gaussian circumstances. traditional clutter cancellation methods are incorporated this corresponding to circumstance. Based on framework, a method (JRM) developed suppressing noise. Specifically, explicitly discussed. Analytical analysis p...

Given the importance of soil moisture for hydrological applications, such as weather and flood forecasting, passive microwave remote sensing is a promising approach for retrieving soil moisture due to its high sensitivity to near-surface soil moisture, applicability to all weather conditions, direct relationship with the soil dielectric constant, and reduced effects from vegetation and roughnes...

Recently many studies have been done on different issues of using multiple antennas at transmit and receive sides of a radar system in a MIMO (Multiple Input Multiple Output) configuration. In addition, for the purpose of electronic warfare, the utilization of available signals of the environment to detect the targets has gained considerable attention in recent years. Such passive radars use th...

Intelligent reflecting surface (IRS) is a promising technology being considered for future wireless communications due to its ability control signal propagation. This paper considers the joint active and passive beamforming problem an IRS-assisted radar, where multiple IRSs are employed assist surveillance of targets in cluttered environments. Specifically, we aim maximize minimum target illumi...

Soil moisture is a critical hydrological variable that links the terrestrial water, energy and carbon cycles. Global and regional observations of soil moisture are needed to estimate the water and energy fluxes at the land surface, to quantify the net carbon flux in boreal landscapes, to enhance weather and climate forecast skill and to develop improved flood prediction and drought monitoring c...