Product Cubic Phase Function Algorithm for Estimating the Instantaneous Frequency Rate of Multicomponent Two-Dimensional Chirp Signals

The problem of concern here is instantaneous frequency rate (IFR) estimation of multicomponent two-dimensional (2-D) chirp signals. First, the 2-D cubic phase function (CPF) is defined. However, when the 2-D CPF is used to dealing with multicomponent 2-D chirp signals, the spurious peaks arise due to the existing of cross term. Then the definition of 2-D product cubic phase function (PCPF) is given by multiplying the corresponding 2-D CPF slices. Using 2-D PCPF, the spurious peaks are suppressed and IFR of 2-D chirp signals under low SNR can be estimated accurately. Simulations are provided to verify the theoretical claims.

[1]  P. O'Shea A new technique for instantaneous frequency rate estimation , 2002, IEEE Signal Processing Letters.

[2]  Peter O'Shea,et al.  A fast algorithm for estimating the parameters of a quadratic FM signal , 2004, IEEE Transactions on Signal Processing.

[3]  Petar M. Djuric,et al.  Parameter estimation of chirp signals , 1990, IEEE Trans. Acoust. Speech Signal Process..

[4]  Petros Maragos,et al.  AM-FM energy detection and separation in noise using multiband energy operators , 1993, IEEE Trans. Signal Process..

[5]  Alan C. Bovik,et al.  Multi-component AM-FM image models and wavelet-based demodulation with component tracking , 1994, Proceedings of 1st International Conference on Image Processing.

[6]  Petros Maragos,et al.  On amplitude and frequency demodulation using energy operators , 1993, IEEE Trans. Signal Process..

[7]  Xiang-Gen Xia,et al.  Discrete chirp-Fourier transform and its application to chirp rate estimation , 2000, IEEE Trans. Signal Process..

[8]  B. Friedlander,et al.  Multicomponent signal analysis using the polynomial-phase transform , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Andrew K. Chan,et al.  Linear frequency-modulated signal detection using Radon-ambiguity transform , 1998, IEEE Trans. Signal Process..

[10]  Joseph M. Francos,et al.  Parameter estimation of 2-D random amplitude polynomial-phase signals , 1999, IEEE Trans. Signal Process..

[11]  F. Hlawatsch,et al.  Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.

[12]  Fei Wang,et al.  Cross-Spectral Method Based on 2-D Cross Polynomial Transform for 2-D Chirp Signal Parameter Estimation , 2006, 2006 8th international Conference on Signal Processing.

[13]  T. Abatzoglou,et al.  "Fast maximum likelihood joint estimation of frequency and frequency rate" , 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[14]  Joseph M. Francos,et al.  An estimation algorithm for 2-D polynomial phase signals , 1996, IEEE Trans. Image Process..

[15]  Joseph M. Francos,et al.  Optimal parameter selection in the phase differencing algorithm for 2-D phase estimation , 1999, IEEE Trans. Signal Process..

[16]  Jianyu Yang,et al.  Multicomponent chirp signals analysis using product cubic phase function , 2006, Digit. Signal Process..

[17]  Luís B. Almeida,et al.  The fractional Fourier transform and time-frequency representations , 1994, IEEE Trans. Signal Process..

[18]  Joseph M. Francos,et al.  Two-Dimensional Polynomial Phase Signals: Parameter Estimation and Bounds , 1998, Multidimens. Syst. Signal Process..