Nonlinear Frequency-Modulated Waveforms Modeling and Optimization for Radar Applications

Conventional radars commonly use a linear frequency-modulated (LFM) waveform as the transmitted signal. The LFM radar is simple system, but its impulse-response function produces −13.25 dB sidelobe, which in turn can make detection of weak targets difficult by drowning out adjacent target information with sidelobe strong target. To overcome this challenge, paper presents modeling and optimization method for non-linear (NLFM) waveforms. Firstly, time-frequency relationship model NLFM signal was combined using Legendre polynomial. Next, optimized bio-inspired method, known Firefly algorithm. Finally, numerical results show that advantages proposed include high resolution sensitivity, well ultra-low sidelobes without loss signal-to-noise ratio (SNR). authors’ knowledge, first study to signals target-velocity improvement measurements. Importantly, mitigating significantly improve accuracy velocity