PANG Cun-suo. An Accelerating Target Detection Algorithm Based on DPT and Fractional Fourier Transform[J]. Acta Electronica Sinica, 2012, 40(1): 184-188.
DOI:
PANG Cun-suo. An Accelerating Target Detection Algorithm Based on DPT and Fractional Fourier Transform[J]. Acta Electronica Sinica, 2012, 40(1): 184-188. DOI: 10.3969/j.issn.0372-2112.2012.01.030.
An Accelerating Target Detection Algorithm Based on DPT and Fractional Fourier Transform
The echo of accelerating targets can be approximated as a linear frequency modulated signal which may degrades the MTD's coherent integration performance.This paper presents an LFM detection method based on both discrete polynomial phase transform (DPT) and the fractional Fourier transform (FRFT).First
the interrelation between frequency resolution
cross-correlation delay
pulse length and integration performance of the classic DPT algorithm are analyzed.The result shows that detection performance of the DPT algorithm with a small time delay can be improved 3dB than classical algorithm.This is helpful to detect accelerating target under low SNR
but causes large parameter estimation error.Second
based on DPT algorithm
the FRFT is applied to further improve the accuracy of chirp rate estimation.When the input signal-to-noise ratio (SNR) is greater than-11 dB
one-dimensional Newton's iteration method can help to improve the operation speed in the fractional domain.Finally
the algorithm complexity and the theory of estimation error are presented
and the validity of proposed algorithm is verified by simulation results which make the theory perfect.