通过对几种新型主动声呐发射信号的比较分析,根据各种信号的时频分辨能力不可兼得的情况,提出了一种梳状谱优化设计方法,并结合跳频发射方式,在目标速度未知的条件下,通过发射一组由不同多普勒容限和频带的梳状谱信号组成的信号,来获得相对最优的距离和速度测量能力,并可提高声呐系统的探测帧率,同时针对梳状谱信号峰均值功率比较大的特点,在Newman和Narahashi初相序列优化公式的基础上,提出了进一步优化的搜索算法.通过仿真分析,验证了此方法对于改善峰均功率比的有效性.
This paper proposed a kind of comb-like spectrum optimization design method by comparing and analyzing several new kinds of active sonar-transmitted signals and considering that the time-frequency of all signals can not be distinguished simultaneously.In combination with frequency-hopping transmission patterns,when the target speed is unknown,by transmitting a set of comb-like spectrum signals with different Doppler tolerance and frequency ranges,a relatively optimal distance and speed can be obtained;additionally,the detection frame rate of the sonar system can be increased.Furthermore,considering a higher peak to average power ratio(PAPR) of the comb-like spectrum signal,based on the optimized formula of the Newman and Narahashi initial phase sequence,a new searching method was formulated.Simulation has been carried out to prove the validity of the method for suppressing the PAPR.