Enhanced polynomial maneuvering targets detection via phase modeling in over-the-horizon radars

has significantly varying radial velocity within a coherent integration time (CIT), it is difficult for traditional coherent Due to the polynomial property of the phase of maneuvering function (PHAF) has been proposed i61. target radar echo, a polynomial phase signal (PPS) is introduced to model the complex Doppler variation of maneuvering targets. As an effective method to estimate the parameters of Pps, highorder ambiguity function (HAF) based algorithm is applied. FMCW RADAR And a compensation process follows to eliminate the coherent processing loss (CIL) caused by irregular motion of targets. The It is well km~n that the motion ~~~OIIW&XI of a flying experimental results are given to illustrate the validity and target, such as velocity, acceleration and so on, is always efficiency of the proposed method. able to be decomposed into the radial components and the vertical components if vectorial representation is adopted. For most radar applications, the radial components are more

[1]  Benjamin Friedlander,et al.  The discrete polynomial-phase transform , 1995, IEEE Trans. Signal Process..

[2]  Donald E. Barrick,et al.  FM/CW Radar Signals and Digital Processing , 1973 .

[3]  Xiang-Gen Xia,et al.  Maneuvering target detection in over-the-horizon radar by using adaptive chirplet transform and subspace clutter rejection , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[4]  Boaz Porat,et al.  Estimation and Classification of Signals with Polynomial Phase , 1989, The Sixteenth Conference of Electrical and Electronics Engineers in Israel,.

[5]  Benjamin Friedlander,et al.  The achievable accuracy in estimating the instantaneous phase and frequency of a constant amplitude signal , 1993, IEEE Trans. Signal Process..

[6]  Anna Scaglione,et al.  Product high-order ambiguity function for multicomponent polynomial-phase signal modeling , 1998, IEEE Trans. Signal Process..