As radars become more prevalent as a sensing solution, detecting and profiling unknown radars become crucial for privacy or interference avoidance purposes. ChirpEye [3] is a radar detection system capable of identifying the parameters and angle of arrival (AoA) of Frequency-Modulated Continuous-Wave (FMCW) radars without prior knowledge of radar configuration or location. In this paper, we provide and extended analysis on robustness of ChirpEye under varying multipath conditions or highly mobile scenarios. First, we prove that Chirpeye can preserve its accurate radar detection and characterization even under high mobility due to the unique tag structure that cancels out Doppler shifts. Furthermore, through controlled simulations, we show that multipath interference could cause chirp slope and AoA estimation errors only under low SINR conditions and within a specific multipath delay range.