Spectral Analysis for Radar Speed Measurement

When conducting spectral analysis for radar speed measurement, we primarily analyze actual signals to obtain the Doppler frequency, thereby calculating the vehicle's operating speed. During this process, we perform detailed spectral analysis on the signals to acquire more accurate Doppler frequency data. Typically, this involves applying Fast Fourier Transform (FFT) algorithms to convert time-domain signals into frequency-domain representations, where Doppler peaks can be identified using peak detection algorithms. Subsequently, we utilize this data to compute the vehicle's velocity through the Doppler equation v = (Δf * c) / (2 * f0), where Δf represents the Doppler shift, c is the speed of light, and f0 is the radar's transmission frequency. The accuracy of results can be validated through further analysis and comparison with reference measurements, potentially implementing correlation algorithms or error margin calculations. This method proves highly effective in practical radar speed measurement applications and delivers reliable velocity measurement outcomes through proper signal processing implementation.