Sidelobe Reduction of LFM Signal Using Convolutional Windows

Abstract

Pulse compression technique is used to enhance radar performance in terms of more efficient use of high power transmitters and increasing the system resolving capability. The linear frequency modulated (LFM) waveform is widely used in radar because it can be generated easily and is Doppler tolerant. But the matched filter output of this signal contains range sidelobes. To reduce these sidelobes different types of windows are used as the weighing function at the receiver. In this paper convolutional windows are applied as weighing function for radar pulse compression which are more insensitive to Doppler shift as compared to conventional windows. It is observed that the radar pulse compression technique using convolutional window as weighing function has higher peak to sidelobe ratio (PSR) at higher Doppler shifts