Abstract: A radar signal processing system with a self-interference cancelling function includes an analog front end (AFE) processor, an analog to digital converter (ADC), an adaptive interference canceller (AIC), and a digital to analog converter (DAC). The AFE processor receives an original input signal and generates an analog input signal. The ADC converts the analog input signal to a digital input signal. The AIC generates a digital interference signal digital interference signal by performing an adaptive interference cancellation process according to the digital input signal. The DAC converts the digital interference signal to an analog interference signal. Finally, the analog interference signal is fed back to the AFE and cancelled from the original input signal in the AFE processor while performing the front end process, reducing the interference of the static interference from the leaking of a close-by transmitter during the front end process.

Abstract: A landmark recommendation method and non-transitory computer-readable storage medium integrated with life behavior analysis and social network. The aforementioned method analyzes device time information and device location information of a user device operated by a user so as to provide life behavior information related to the user, analyzes the life behavior information so as to provide a user preference value, weights a plurality of landmarks located in an inquiring landmark area according to the user preference value and a social recommendation value, and then selects a recommendation list from the landmark which meets a threshold value.

Abstract: A landmark recommendation method and non-transitory computer-readable storage medium integrated with life behavior analysis and social network. The aforementioned method analyzes device time information and device location information of a user device operated by a user so as to provide life behavior information related to the user, analyzes the life behavior information so as to provide a user preference value, weights a plurality of landmarks located in an inquiring landmark area according to the user preference value and a social recommendation value, and then selects a recommendation list from the landmark which meets a threshold value.