We extract gait information from the radar micro-Doppler signals generated by human motion. We demonstrate the extraction of information associated with gait, especially the stride rate, from simulated and measured radar data. We describe micro-Doppler algorithms used for the extraction of stride rate, the radar sensors used for the measurements, and detail the gait features that can be extracted. We make measurements of human subjects in realistic outdoor clutter backgrounds. These features help identify subjects in a scene. We gather ground truth using video to validate the radar data. We conclude that although we can extract gait features like stride rate from radar data, more features need to be extracted before reliable identification or classification can be determined.