电离层杂波背景下Constrained-MUISC算法在高频地波雷达中的应用

高频地波雷达能够探测到视距以外的低空飞机和舰船等目标,但其检测性能受到电离层杂波的严重影响。为了能够在有电离层杂波干扰的情况下检测出目标信号,首先利用MUSIC(multiple signal classification)算法对电离层杂波的方向特性进行分析,分析表明大部分电离层杂波呈现很强的方向性,并且通常相邻分辨单元的电离层杂波具有一致性的方向性。对于有方向性的电离层杂波可以将其方向作为已知信息,利用Constrained-MUSIC算法在含有电离层杂波的距离-多普勒分辨单元中对目标进行方位检测,在空域将目标与电离层杂波分开。通过对实测数据的分析,证明该方法可以有效地对有方向性的电离层杂波进行抑制,从而提高高频地波雷达的检测性能。

Application of Constrained-MUSIC Algorithm Under the Background of Ionospheric Clutter in HFSWR

High frequency surface wave radar (HFSWR) has the capability of detecting vessels and low-altitude aircrafts over the horizon, but the performance is affected by the ionospheric clutter. In order to detect the targets in ionospheric clutter, the detection characteristics of ionospheric clutter was researched based on MUSIC (multiple signal classification) scheme, and it was indicated that most ionospheric clutter has apparent directivity. The directivity can be used as known information for the ionospheric clutter with directivity, and then the targets in the range-Doppler resolution cells, which were polluted by the ionospheric clutter, can be detected based on the Constrained-MUSIC scheme. The real data analysis showed that the method is effective to restrain ionospheric clutter with directivity, and detect targets in the ionospheric clutter. The scheme achieved angle supper resolution in HFSWR, and the range-Doppler-azimuth three-dimension detection background is given.