CAJ | 학술논문

在多输入多输出（ MIMO）雷达中，基于二阶统计特性的子空间角度算法在低快拍条件下的估计性能急骤下降，甚至在单快拍时失效。针对该问题，提出一种扩展阵列孔径的二维联合空间平滑多目标波离方向（ DOD）和波达方向（ DOA）估计方法。该算法对MIMO雷达的发射端和接收端进行二维联合空间平滑，并利用MIMO雷达虚拟阵列的旋转不变特性对阵列孔径进行扩展，然后根据ESPRIT算法获得目标的DOD和DOA，且DOD和DOA自动配对。与基于二阶统计特性的子空间算法相比，且所提算法在低快拍条件下具有更加优越的角度估计性能，因所提算法能够适用于单快拍条件。仿真结果表明了所提方法的有效性和优越性。
재다수입다수출（ MIMO）뢰체중，기우이계통계특성적자공간각도산법재저쾌박조건하적고계성능급취하강，심지재단쾌박시실효。침대해문제，제출일충확전진렬공경적이유연합공간평활다목표파리방향（ DOD）화파체방향（ DOA）고계방법。해산법대MIMO뢰체적발사단화접수단진행이유연합공간평활，병이용MIMO뢰체허의진렬적선전불변특성대진렬공경진행확전，연후근거ESPRIT산법획득목표적DOD화DOA，차DOD화DOA자동배대。여기우이계통계특성적자공간산법상비，차소제산법재저쾌박조건하구유경가우월적각도고계성능，인소제산법능구괄용우단쾌박조건。방진결과표명료소제방법적유효성화우월성。
The angle estimation performance of subspace algorithms based on the second order statistical characteris-tic is seriously descended with low snapshots in multiple-input multiple-output ( MIMO) radar, even invalid with single snapshot. In order to solve this problem, a joint two-dimensional spatial smoothing multi-objective DOD and DOA estimation algorithm with enlarged array aperture is proposed. The proposed algorithm constructs a joint two-dimensional spatial smoothing for both transmit array and receive array, and enlarges the aperture of array by ex-ploiting the shift invariance property of the virtual array in MIMO radar. Then the DOD and DOA can be estimated by ESPRIT, which are paired automatically. Compared with the second order statistical characteristic based sub-space algorithms, the proposed method provides better angle estimation performance with lower snapshots. Further-more, the proposed method is suitable for single snapshot. Simulation results are presented to verify the effective-ness and advantages of the proposed method.