Abstract: According to an aspect of an embodiment, a method may include obtaining a first signal at a first port of a communication system. The first signal may include a combination of an incident signal and a reflected signal. The method may include performing a first processing to the first signal. In response to the first processing, the method may include performing a second processing to the first signal. The method may include estimating a voltage standing wave ratio (VSWR) associated with a transmission line from results of the second processing to the first signal.

Abstract: According to an aspect of an embodiment, a method may include obtaining a first signal at a first port of a communication system. The first signal may include a combination of an incident signal and a reflected signal. The method may include performing a first processing to the first signal. In response to the first processing, the method may include performing a second processing to the first signal. The method may include estimating a voltage standing wave ratio (VSWR) associated with a transmission line from results of the second processing to the first signal.

Abstract: Receive diversity combining uses signals received at multiple antennas and combine them to obtain a higher overall signal to noise ratio. Multi-level ranking is employed to determine the weight assigned to each channel and, once the channels are weighted the weighted signals are added together. In a two-level example the first level ranks the signals according to fidelity of the signal. This is done by calculating cross correlation coefficients, where highest coefficient indicates best fidelity. The second level ranks the channels according to peak to average power ratio. The lowest value indicates the best channel. The two rankings are combined to generate the weight coefficient for each channel prior to combining the signals from all the channels.

Abstract: Receive diversity combining uses signals received at multiple antennas and combine them to obtain a higher overall signal to noise ratio. Multi-level ranking is employed to determine the weight assigned to each channel and, once the channels are weighted the weighted signals are added together. In a two-level example the first level ranks the signals according to fidelity of the signal. This is done by calculating cross correlation coefficients, where highest coefficient indicates best fidelity. The second level ranks the channels according to peak to average power ratio. The lowest value indicates the best channel. The two rankings are combined to generate the weight coefficient for each channel prior to combining the signals from all the channels.