基于周期LFM本振的同步Nyquist折叠接收机 多分量信号参数估计算法

doi:CNKI:11-1929/V.20111228.1817.001

Abstract

Abstract: The Nyquist folding receiver (NYFR) is a new interception architecture which is able to intercept wideband signals in multi-Nyquist zones simultaneously with one or two analog-to-digital converters (ADCs). This paper presents a parameter estimation algorithm of multicomponent signals intercepted by an improved NYFR. First, the NYFR is improved by introducing a synchronous mechanism, denoted as synchronous NYFR (SNYFR). Secondly, the periodic linear frequency modulation (LFM) is chosen as the local signal, and the outputs of the SNYFR for multicomponent signals are presented. Then, the dechirp function (DF) is proposed for the detection of Nyquist zones. Finally, the parameter estimations are accomplished according to the Nyquist zones. Simulations show that the parameter estimation accuracy is close to the Cramer-Rao lower bound (CRLB) when the signal to noise ratio (SNR) is above -9 dB.

Key words: electronic surveillance, parameter estimation, multicomponent signal, linear frequency modulation, Nyquist folding receiver

CLC Number:

ZENG Deguo, CHENG Hao, TANG Bin, ZENG Xiaodong. Parameter Estimation Approach for Multicomponent Signals Intercepted by Synchronous Nyquist Folding Receiver Using Local Periodic LFM Signals[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, (4): 688-695.

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Parameter Estimation Approach for Multicomponent Signals Intercepted by Synchronous Nyquist Folding Receiver Using Local Periodic LFM Signals

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