Scaling function waveform for effective side-lobe suppression in radar signal

Abstract

Scaling function of generic wavelet is proposed to be the radar waveform of a radar signal. Its shows significant advantage on conventional linear frequency modulated (LFM) or chirp radar waveform in side-lobe compression. To increase the bandwidth of the radar waveform, we further propose a new radar waveform named chirp-Z, which is composed of wavelet packets. The generation of the chirp-Z signal is introduced, and the signal is compared with the chirp radar pulse with the same duration and same bandwidth chirp. The result demonstrates that chirp-Z signal has much better sidelobe suppression than the conventional chirp signal. Furthermore, due to the composition of wavelet packets in the chirp-Z signal, subband adaptation in both amplitude and phase adjustment becomes flexible in responding to the variation of environments.The latter enables powerful cognitive radar.

Development of a new software-defined S-band radar and its use in the test of wavelet-based waveforms

“…From the table one can see that the wavelet-based waveforms express a 2 to 4 dB enhancement. This observation validates the simulated results ([7]). …”

“…In the previous study [7], it has been shown the autocorrelation of the scaling function generates very little sidelobes in comparison with the conventional LFM as shown in Figure 3, and the main lobe of that of the wavelet-based waveform is narrower than that of the LFM waveform. The goal of the test is to verify if those two theoretical results are also practically true.…”

Wavelet-based radar waveform for moving targets detection

“…The wavelet-based waveform (WBW) has been studied for suppressing range sidelobes [1]. The study indicates that WBW can suppress sidelobes to noise-like signal.…”

“…Wang [15] proposed transmitting single wavelet functions and performing wavelet decomposition at the receiver, instead of using matched filters. In our previous study of WBW [1], we studied in both theory and experiment how WBW can improve the performance in the range detection for static targets.…”

“…Simulations have proved the result of the theoretical analysis. Since WBW can also obtain a better range resolution than LFM by effectively suppressing the range sidelobes [1], WBW has the potential to generate high resolution images for SAR than LFM.…”