距离-多普勒坐标系下基于相参积累的TBD算法研究

摘要

The weak target detection made a very high demand on radar system and detection methods.The Track-Before-Detect（TBD） algorithm based on coherent integration is optimized by using speed-scanning and phase-scanning method.A simple target echo signal model is established,and the basic principles of the algorithm are analyzed.The feasibility and limitations of the algorithm in the current conditions are discussed.The target route planning is simulated,and the performance analysis is made.Experimental results show that the algorithm based on the coherent integration in the range-Doppler coordinate can reduce the amount of search volume and calculation,increase Signal Noise Ratio（SNR） and achieve good track results.%微弱目标的检测对雷达系统和检测方法提出很高的要求。首先采用速度检索和相位检索的方式,优化了基于相参积累的检测前跟踪算法;其次建立了简单的回波信号模型,分析了该算法的基本原理,探讨了该算法在当前条件下的可行性和局限性。实验仿真了目标幅度在帧间非起伏情况下目标的航迹规划,并且对其作了性能分析。实验表明,建立在距离-多普勒坐标系下的相参积累的算法,减少了搜索量和计算量,增加了信噪比的同时,取得了很好的航迹效果。