An Improved Parameter Estimation Algorithm Based on FFT for LFM Signal

2014 ◽  
Vol 519-520 ◽  
pp. 1000-1004
Author(s):  
Rong Zhou ◽  
Ai Jun Liu ◽  
Xiao Fei Pan ◽  
Chao Gong

Parameter estimation is essential to receive a linear frequency modulation (LFM) signal precisely, so in this paper an improved parameter estimation algorithm based on FFT is proposed. Compared to the traditional one-dimension search procedure, the algorithm just needs two FFT steps plus one correlation step only. Without searching process and low computational complexity, the algorithm is easy for project application. The simulations verify feasibility of the algorithm, when SNR is above-3 dB, the algorithm can work well.

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