Description

This Master Prompt develops research frameworks for extracting information from propagated signals in radar, wireless communication, positioning, array processing and remote sensing. It addresses waveform representation, channel effects, synchronization, interference mitigation, spectral analysis, beamforming, detection, estimation and environmental retrieval. Drawing principally on the supplied AI-based radar review, GNSS intermediate-frequency processing study and antenna-array interference-mitigation paper, it connects signal-level analysis with application-level outcomes. Particular attention is given to acquisition formats, array geometry, coherent processing, propagation assumptions, limited reference information and the distinction between offline and causal operation. The framework accommodates classical, statistical and learning-based methods while requiring fair comparisons, uncertainty assessment and independent validation. It distinguishes measurement agreement from absolute accuracy, simulation from field evidence, and an enhanced intermediate representation from a demonstrated improvement in positioning, communication or sensing performance.