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Volume 37 Issue 1
Feb.  2015
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Li Rui, Chen Dian-Ren. Multi-component LFM Signal Detection and Parameter Estimation Algorithm Based on Synchronous Nyquist Folding Receiver with Dual Local Oscillator[J]. Journal of Electronics & Information Technology, 2015, 37(1): 91-96. doi: 10.11999/JEIT140281
Citation: Li Rui, Chen Dian-Ren. Multi-component LFM Signal Detection and Parameter Estimation Algorithm Based on Synchronous Nyquist Folding Receiver with Dual Local Oscillator[J]. Journal of Electronics & Information Technology, 2015, 37(1): 91-96. doi: 10.11999/JEIT140281

Multi-component LFM Signal Detection and Parameter Estimation Algorithm Based on Synchronous Nyquist Folding Receiver with Dual Local Oscillator

doi: 10.11999/JEIT140281
  • Received Date: 2014-03-15
  • Rev Recd Date: 2014-07-16
  • Publish Date: 2015-01-19
  • NYquist Folding Receiver (NYFR) is a novel ultra-wideband receiver structure, which can sample a large range wideband signal by using a single ADC. The Synchronous NYquist Folding Receiver (SNYFR) is an improved structure of NYFR. In this paper, a new SNYFR structure with dual local oscillator is proposed and its mathematical model with the input of multi-component LFM signal is deduced. meanwhile, under the input of multi-component LFM signal, a Nyquist Zone (NZ) judgment and parameters estimation algorithm based on combination of Sinusoidal Frequency Modulation Matching (SFMM) and fractional domain folding compensation is proposed to overcome the difficulties of single local oscillator SNYFR structure in dealing with multi-component LFM signal and to improve noise immunity. Computer simulations show that effective detection of multi- component LFM signal and accurate parameters estimation can be achieved by using the proposed algorithm.
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