CAJ | 학술논문

针对多站无源雷达背景下多起伏目标同时检测和跟踪的问题，该文提出一种基于多目标多伯努利(MeMBer)滤波器的多起伏目标检测前跟踪(TBD)算法。由于起伏目标的平均信噪比(SNR)未知使得目标的回波幅度似然函数不确定，该文假定包络检波器的输出平均SNR服从先验的均匀分布，并对可能取值区间进行边缘化处理，得到一个估计的似然函数，基于该估计的似然函数，融合中心利用所有收发对的幅度观测信息对MeMBer滤波器的各个预测分量进行更新。仿真结果表明，该算法能够有效地同时检测和跟踪多起伏目标，并且在平均SNR大于9 dB时，其性能与平均SNR已知情况下的性能近似。
침대다참무원뢰체배경하다기복목표동시검측화근종적문제，해문제출일충기우다목표다백노리(MeMBer)려파기적다기복목표검측전근종(TBD)산법。유우기복목표적평균신조비(SNR)미지사득목표적회파폭도사연함수불학정，해문가정포락검파기적수출평균SNR복종선험적균균분포，병대가능취치구간진행변연화처리，득도일개고계적사연함수，기우해고계적사연함수，융합중심이용소유수발대적폭도관측신식대MeMBer려파기적각개예측분량진행경신。방진결과표명，해산법능구유효지동시검측화근종다기복목표，병차재평균SNR대우9 dB시，기성능여평균SNR이지정황하적성능근사。
A Track-Before-Detect (TBD) algorithm is presented to jointly detect and track multiple fluctuating targets under passive multistatic radar system based on Multi-target Multi-Bernoulli (MeMBer) filter. Because the amplitude likelihood is uncertain due to the unknown mean Signal-to-Noise Ratio (SNR) of fluctuating targets, firstly a uniform prior distribution is assumed for the mean SNR corresponding to the envelope output, and a likelihood function is marginalized over the range of possible values. Based on this approximated likelihood function, the fusion centre uses all the amplitude measurements from each receiver transmitter pair to update the predicted Bernoulli components. Simulations show that the proposed algorithm can jointly detect and track multiple fluctuating targets effectively, furthermore, the performance is similar to the situation of the known mean SNR when the value of the mean SNR is higher than 9 dB.