Search

In this paper, a linearly constrained coherent sidelobe canceller for high frequency surface wave radar is presented to improve the interference cancellation performance. To overcome the target-canceling problem of traditional coherent sidelobe cancellation algorithm, a linear constrain is applied to the adaptive weight vector of auxiliary array in order to keep this adaptive weight vector within a subspace that is orthogonal to the main beam, so the target echoes in the main beam are well preserved. Measured data from real high frequency surface wave radar system is used to compare the performance of the new algorithm and the traditional one, and the results show that the new algorithm is clearly superior to the traditional algorithm.

In this paper, using L-shape array for ionosphere interference suppression for high frequency surface wave radar is proposed. The linear receive array, which is used by conventional HFSWR systems, is replaced by an L-shape array, which is effectively a combination of two linear arrays arranged perpendicular to each other. This gives the radar additional resolving power in elevation angles, which is not available in conventional HFSWR systems with one-dimensional linear arrays, so the ionosphere interferences with high elevation angles can be better suppressed. Measured data from real HFSWR is used in experiments to compare the ionosphere interference suppression performance of conventional linear array and the L-shape array. The result shows great performance improvement by using the L-shape array.