波束形成 Resources

Showing items tagged with "波束形成"

Beamforming is the process of reconstructing a source signal from a sensor array through two primary approaches: (1) amplifying the contributions from desired sources and (2) suppressing interfering signals. Classical beamforming requires prior knowledge of the direction of arrival (DOA) of the target signal. Blind beamforming attempts to recover the source signal without DOA information, employing statistical or optimization-based methods. The core principle involves applying weighted summation to array element outputs, "steering" the antenna beam toward a specific direction to maximize the output power of the desired signal—this optimal steering angle provides the DOA estimate. Although individual antenna elements have omnidirectional radiation patterns, weighted combination of their outputs concentrates gain in a specific direction, effectively forming a directional "beam."

MATLAB 233 views Tagged

Beamforming, also known as spatial filtering, is a signal processing technique used with sensor arrays for directional signal transmission or reception. This technique involves combining phased array elements in a way that signals at specific angles experience constructive interference while experiencing destructive interference at other angles. Beamforming can be used at both transmit and receive ends to achieve spatial selectivity. Compared to omnidirectional patterns, the enhancement in reception/transmission is referred to as receive/transmit gain (or loss). Beamforming can be implemented with radio waves or acoustic waves, finding applications in radar, sonar, seismology, wireless communications, radio astronomy, acoustics, and biomedical fields. Adaptive beamforming represents

MATLAB 215 views Tagged