Multi-step Knowledge-Aided Iterative Conjugate Gradient Algorithms for DOA Estimation
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01033-0
Abstract: In this work, we present direction-of-arrival (DoA) estimation algorithms based on the Krylov subspace that effectively exploit prior knowledge of the signals that impinge on a sensor array. The proposed multi-step knowledge-aided iterative conjugate gradient… read more here.
Keywords: step knowledge; multi step; knowledge aided; doa estimation ... See more keywords
Knowledge-aided mono-pulse forward-looking imaging for airborne radar by exploiting the antenna pattern information
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.0324
Abstract: A knowledge-aided mono-pulse forward-looking imaging algorithm to enhance the performance of airborne radar is proposed. Firstly, the ideal mono-pulse imaging model based on the dual-channel radar system is analysed and the mismatch model of the… read more here.
Keywords: mono pulse; airborne radar; knowledge aided; radar ... See more keywords
Knowledge Aided Covariance Matrix Estimation via Gaussian Kernel Function for Airborne SR-STAP
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2963838
Abstract: In practical airborne radar, the interference signals in training snapshots usually lead to inaccurate estimation of the clutter covariance matrix (CCM) in space-time adaptive processing (STAP), which seriously degrade radar performance and even occur target… read more here.
Keywords: interference signals; knowledge aided; stap; covariance matrix ... See more keywords
CFAR Knowledge-Aided Radar Detection With Heterogeneous Samples
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2688386
Abstract: In this letter, we consider the problem of constant false alarm rate (CFAR) detection in heterogeneous scenarios. We assume that the covariance matrices of the training samples are different from that of the cell under… read more here.
Keywords: detection; knowledge aided; aided radar; detection heterogeneous ... See more keywords
Knowledge-Aided InSAR Phase Unwrapping Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3081039
Abstract: 2-D phase unwrapping (PU) is one of the biggest challenges in synthetic aperture radar (SAR) interferometry (InSAR) processing. As an ill-posed problem, the performance of the traditional algorithmic model-based 2-D PU algorithms is not guaranteed… read more here.
Keywords: phase unwrapping; knowledge aided; approach; model ... See more keywords