A Nyquist Folding Receiver Architecture with Improving Nyquist Zone Estimation Precision
Kailun Tian, Tao Wan, Ying Xiong, Bin Tang · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022
To sensing signals in a wide frequency range, a sensor architecture has been proposed, namely the Nyquist folding receiver (NYFR). This architecture introduces a key parameter, the Nyquist zone index (NZI), which marks the frequency band in which the signal is originally located. However, when the existing estimation algorithms correctly estimate the NZI parameters of wideband signals, either the algorithm logic needs to be updated according to the signal type, or a higher signal-to-noise ratio (SNR) condition is required. For this reason, this paper proposes an improved signal sensor structure, namely the dual-antenna dual-channel NYFR (DDNYFR) structure, the need of SNR is reduced by 3dB, this paper also proposes a fast NZI estimation method. Comparative simulation experiments verify the effectiveness of DDNYFR and its robustness to noise.