Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  exploit the hyperparameter-freeLIKelihood-based Estimation of Sparse parameters (LIKES) method for Through-the-Wall Radar Imaging (TWRI). The Rotational Signal Subspace (RSS) method is utilized to convert the single snapshot data set into the equivalent multiple snapshots, which allows us to apply LIKES to TWRI without loss of array aperture. Experiments on real data show that LIKES can improve the image quality compared to the Back- Projection (BP) and Capon algorithms.
['Chundi Zheng', 'Gang Li']
I am writing a research paper on a idea High resolution through-wall radar imaging using hyperparameter-free likes method
[{"from": "human", "value": "I am writing a research paper on a idea High resolution through-wall radar imaging using hyperparameter-free likes method"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  exploit the hyperparameter-freeLIKelihood-based Estimation of Sparse parameters (LIKES) method for Through-the-Wall Radar Imaging (TWRI). The Rotational Signal Subspace (RSS) method is utilized to convert the single snapshot data set into the equivalent multiple snapshots, which allows us to apply LIKES to TWRI without loss of array aperture. Experiments on real data show that LIKES can improve the image quality compared to the Back- Projection (BP) and Capon algorithms."}]