Multi-jamming suppression based on iterative reconstruction of jamming spectrum in distributed array radar

Distributed array radar provides high angular resolution and can create very narrow spatial nulls. This gives it a clear advantage over traditional radar systems in jamming suppression. However, the long baseline of distributed arrays causes time delay inconsistencies for multiple jamming sources. These inconsistencies can greatly reduce the effectiveness of suppression. This paper proposes a method for suppressing multiple jamming signals in distributed array radar. The algorithm estimates jamming parameters between radar units and reconstructs the jamming spectrum in the frequency domain. A key contribution is the design of a novel iterative estimation algorithm that improve estimation accuracy. The core idea of this new algorithm is to use different radar signals in each iteration to update both the jamming spectra and the jamming signal parameters. This approach avoids error accumulation. By using the reconstructed jamming spectra, the algorithm effectively suppresses the original multi-jamming signals. Simulations and measured data both confirm the algorithm's effectiveness. This demonstrates its potential for practical anti-jamming applications.