CAJ | 학술논문

提出了一种用于雷达目标跟踪的自适应广义调频波形设计算法。该算法根据跟踪器的动态需求，以广义调频信号为样板波形自适应设计下一时刻的发射波形，其目的是最小化预测的目标跟踪均方误差，并假定高信噪比条件，且目标跟踪运动模型和观测模型均为线性，利用与某一波形相对应的克拉美--罗下限（CRLB）以及卡尔曼滤波器，通过最小化预测的跟踪均方误差来实现广义调频波形的自适应设计。仿真结果表明：在信噪比相同的情况下，与使用固定参数、自适应参数的线性调频波形设计算法相比，所提出的算法能够获得更低的目标跟踪均方误差。
제출료일충용우뢰체목표근종적자괄응엄의조빈파형설계산법。해산법근거근종기적동태수구，이엄의조빈신호위양판파형자괄응설계하일시각적발사파형，기목적시최소화예측적목표근종균방오차，병가정고신조비조건，차목표근종운동모형화관측모형균위선성，이용여모일파형상대응적극랍미--라하한（CRLB）이급잡이만려파기，통과최소화예측적근종균방오차래실현엄의조빈파형적자괄응설계。방진결과표명：재신조비상동적정황하，여사용고정삼수、자괄응삼수적선성조빈파형설계산법상비，소제출적산법능구획득경저적목표근종균방오차。
An adaptive waveform design algorithm for tracking based on generalized frequency modulation (GFM) is proposed in this paper. Acording to the tracker’s dynamical requirements, the algorithm adaptively design the transmitting waveform for the next time step based on GFM signal as a sample waveform, in order to minimize the predicted tracking mean squared error (MSE). With the assumption of high SNR and the linear dynamical state and observation models, the adaptive design of GFM waveform is implemented by minimizing the predicted MSE with the waveform dependent Cramer-Rao Lower Bound (CRLB) and Kalman filtering. Simulation results show that under the same SNR conditions, the tracking MSE of the proposed algorithm is lower than that of the linear frequency modulation waveform design algorithms with the fixed or adaptive parameters.