access icon free Fast-time STAP based on BSS for heterogeneous ionospheric clutter mitigation in HFSWR

© The Institution of Engineering and Technology
Received 13/12/2019, Accepted 19/02/2020, Revised 06/02/2020, Published 21/02/2020

High-frequency surface-wave radar (HFSWR) is widely used in vessel and aircraft detection, sea-state sensing and wind-field mapping. Target detection suffers from the ionospheric clutter, which is reflected by the ionosphere. Adaptive beamforming (ABF) has been used for ionospheric clutter mitigation. However, the performance of ABF is limited by the heterogeneous ionospheric clutter and degrees of freedom (DOF) of the antennas array. In order to improve the performance, here, the one-dimensional ABF is expanded to two-dimensional fast-time space–time adaptive processing (STAP), which combines beam and range domains to obtain more DOFs than that in the ABF. In addition, the blind sources separation (BSS) method is also used to improve the spatial covariance matrix estimation accuracy of STAP in the heterogeneous ionospheric clutter background. The simulation and real data results demonstrate the effectiveness of the proposed BSS-STAP method in HFSWR.

Inspec keywords: object detection; array signal processing; space-time adaptive processing; radar clutter; antenna arrays; interference suppression; blind source separation; radar signal processing; covariance matrices

Other keywords: blind sources separation method; adaptive beamforming; ionosphere; wind-field mapping; aircraft detection; heterogeneous ionospheric clutter mitigation; range domains; heterogeneous ionospheric clutter background; fast-time space–time adaptive processing; one-dimensional ABF; target detection suffers; BSS-STAP method; degrees of freedom; antennas array; sea-state sensing; HFSWR; beam; fast-time STAP; high-frequency surface-wave radar

Subjects: Other topics in statistics; Signal processing and detection; Radar equipment, systems and applications; Electromagnetic compatibility and interference; Antenna arrays; Algebra

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