ESPRIT and Unitary ESPRIT Algorithms for Coexistence of Circular and Noncircular Signals in Bistatic MIMO Radar
ESPRIT and Unitary ESPRIT Algorithms for Coexistence of Circular and Noncircular Signals in Bistatic MIMO Radar
复制标题
双基地 MIMO 雷达中圆形和非圆形信号共存的 ESPRIT 和酉 ESPRIT 算法
DOI：
10.1109/access.2016.2624561
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发表时间：
2016-01-01
期刊：
影响因子：
3.9
通讯作者：
Yang, Xuan
中科院分区：
文献类型：
--
作者：
Zheng, Guimei;Tang, Jun;Yang, Xuan
在双基地多输入多输出（MIMO）雷达中，利用旋转不变技术（ESPRIT）对信号参数进行共轭估计，可以获得更多的可检测入射信号和更高的角度估计性能。该结果是在所有接收信号都是非圆的假设下实现的。当入射信号为非圆信号和圆信号共存时，共轭ESPRIT方法不再适用。为此，提出了一种适用于双基地MIMO雷达中非圆信号和圆信号共存情况的波达方向（DOA）和离去方向（DOD）联合估计方法。首先给出了双基地MIMO雷达的接收数据模型。其次，我们利用非圆特性修正接收信号模型。第三，推导出包含DOD和DOA信息的空间旋转不变量方程。最后，利用总体最小二乘技术求解该方程，得到目标的方位角和角。该算法具有三个优点。一是它比不利用非圆特性的方法具有更高的角度估计精度。另一个是它有更多的可检测的入射信号。非圆信号个数越多，角度估计精度越高。数值实验结果表明了该算法的有效性。
In bistatic multiple input multiple output (MIMO) radar, more number of detectable incident signals and a higher angle estimation performance can be obtained by using conjugate estimation of signal parameters via rotational invariance techniques (ESPRITs) with the characteristic of noncircularity. The result is achieved under the assumption that all the received signals are noncircular. When the incident signals are the coexistence of noncircular and circular signals, the conjugate ESPRIT will not valuable. Therefore, this paper proposes a method of the joint of direction of departure (DOD) and direction of arrival (DOA) estimation, which is appropriate for the coexistence of noncircular and circular signals in bistatic MIMO radar. First, the received data model of the bistatic MIMO radar is given. Second, we modify the received signal model by the use of noncircularity characteristic. Third, we derive out the equation of spatially rotational invariant containing the DOD and DOA information. Last, we solve the equation to obtain the DOD and DOA by means of total least squares technology. The proposed algorithm has the three advantages. One is that it has better angle estimation accuracy than that of method which does not use the noncircularity characteristic. Another one is that it has more number of detectable incident signals. The last one is that the more number of noncircular signals, the higher angle estimation accuracy will be. Results from numerical experiments are used to show the effectiveness of our proposed algorithm.