Parameter Estimation of Multiple Mono-Pulse Radar Signals Intercepted by Nyquist Folding Receiver Using Periodic Chirp Local Oscillator Based on Periodic Fractional Autocorrelation

• 作者: QIU Zhaoyang LI Tingpeng WANG Yiming
• 来源期刊: 电子学报（英文版）
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: IMAGE AND SIGNAL PROCESSING
• 页码范围: 181-189
• 页数: 9页
• 语种: 英文
• DOI: 10.1049/cje.2020.00.305

摘要

The frequency space of modern radar system has been extended to a wide range.To intercept the modern radar signals with high interception probabil-ity,the wideband receiving is of significance to the radar reconnaissance receiver.The Nyquist folding receiver(NYFR)is a novel ultra-wideband receiving architecture,which requires a small amount of equipment.Because the mono-pulse radar signal is widely used in radar systems,the multiple mono-pulse radar signals will be intercepted by the NYFR.The parameter estimation of multiple sim-ultaneous arrival mono-pulse radar signals intercepted by the NYFR using periodic chirp local oscillator is con-sidered.The definition of periodic fractional autocorrela-tion(PFA)is proposed.Based on the PFA,a novel fast parameter estimation method is given.The proposed es-timation approach can estimate the multiple NYFR out-puts under frequency aliasing condition and has low com-putational complexity.Simulation results show the effect-iveness of the proposed method.