Neural Network Multipath Reflection Estimation for Wi-Fi

The patent introduces an intermediary processing stage that transforms frequency-domain channel estimates into time-domain impulse response estimates through inverse FFT, then applies clustering algorithms to separate multipath components. This intermediary transformation enables accurate AoP estimation by isolating the direct path signal from reflected paths, resolving the contradiction between simple processing and precise measurement.

The patent segments the composite channel response into distinct multipath components (direct path, reflections, diffractions) using clustering algorithms on the impulse response. By segmenting the channel into individual paths with separate parameters (delay, amplitude, phase, angle), the system can selectively process only the direct path components for AoP estimation, eliminating multipath interference effects.

The patent introduces an intermediary transformation from frequency domain to time domain via inverse FFT, which acts as a mediator to separate overlapping multipath components in the frequency domain into distinct delayed copies in the time domain. This enables reliable channel estimation by allowing selective processing of direct path components independent of reflected paths.

The patent performs preliminary clustering and classification of impulse response components before final channel parameter extraction. By pre-separating direct path from multipath components through clustering algorithms, the system establishes reliable channel estimates early in the processing chain, preventing propagation of errors through subsequent processing stages.

The patent applies clustering algorithms to segment the impulse response into distinct multipath components, enabling automatic identification and isolation of the direct path signal. This segmentation preserves angle of propagation information by associating each segmented component with its specific arrival angle, preventing information loss while maintaining operational simplicity through automated processing.

The patent implements self-service through automated clustering and classification algorithms that automatically separate direct path from multipath components without requiring manual intervention or complex configuration. The system self-organizes the channel estimates by delay and angle, automatically extracting AoP information while maintaining ease of operation through black-box processing.