Abstract: According to certain embodiments, a method by a network node for linear chirp detection includes obtaining a first number, N, of samples of a signal. The samples are divided into at least a first group and a second group, where the first group includes a second number, D, of the samples of the signal and the second group includes a third number, N?D, of the samples of the signal. A correlation is performed between the first group of samples and the second group of samples to generate a resultant group of samples of the signal. Within the resultant group of samples, a peak value is identified in the frequency domain Based on at least one property associated with the peak value, it is determined whether there is a linear chirp within the signal.

Abstract: According to certain embodiments, a method performed by a network node includes detecting a radar signal in at least one subchannel within a plurality of subchannels within an operating channel. In response to detecting the radar signal in the at least one subchannel, transmission of at least one signal is scheduled in at least one subchannel within the plurality of subchannels other than the at least one subchannel in which the radar signal was detected.

Abstract: According to certain embodiments, a method by a network node for linear chirp detection includes obtaining a first number, N, of samples of a signal. The samples are divided into at least a first group and a second group, where the first group includes a second number, D, of the samples of the signal and the second group includes a third number, N?D, of the samples of the signal. A correlation is performed between the first group of samples and the second group of samples to generate a resultant group of samples of the signal. Within the resultant group of samples, a peak value is identified in the frequency domain Based on at least one property associated with the peak value, it is determined whether there is a linear chirp within the signal.