Having as starting point the experimental results reported in [13-15], it seems that some very good results have been obtained in case of Taylor and Blackman-Harris weighting windows as sidelobes reduction techniques, and therefore, these two types of PSD functions will be next used for synthesis and comparative analysis of the matched NLFM laws by the above described algorithm.
Synthesis and Analysis of the NLFM Signal Using a Taylor PSD Function
Finally, it is interesting to present a synthetic analysis of NLFM radio pulse based on ambiguity function tool use.
The theoretical and experimental results presented in this paper lead to the following important remarks related to the synthesis of some NLFM laws by stationary phase method as sidelobes suppression technique, namely:
c1) having as a starting point the remark that the level assigned to the signal sidelobes is determined by the shape of the spectral density function and also imposing a certain pattern to its module, a powerful synthesis algorithm by stationary phase method of a proper NLFM radio pulse which assures a level of the sidelobes of the autocorrelation function less than -40 dB and preserves the (LFM) range resolution, was theoretical discussed;
c3) according to literature, based on the most recent advances in the field of signal processing hardware devices, the physical generation of such scanning NLFM radio pulses becomes a relative easy task.
In summary, the synthesis of some NLFM laws by the algorithm discussed above has been demonstrated to be a powerful processing technique as sidelobes suppression.
Kawalec, "Modification of a weighting function for NLFM radar signal designing," Acta Physica Polonica A, Vol.