Abstract:
In this letter, a new method is proposed to enhance the ground-penetrating radar (GPR) signal for time-delay estimation in a low signal-to-noise ratio. It is based on a s...Show MoreMetadata
Abstract:
In this letter, a new method is proposed to enhance the ground-penetrating radar (GPR) signal for time-delay estimation in a low signal-to-noise ratio. It is based on a subspace method and a clustering technique. The proposed method makes it possible to improve the estimation accuracy in a noisy context. It is used with a compressive sensing method to estimate the time delay of layered media backscattered echoes coming from the GPR signal. Several simulations and an experiment are presented to show the effectiveness of signal enhancement.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 13, Issue: 3, March 2016)
Funding Agency:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Ground Penetrating Radar ,
- Time Delay Estimation ,
- Ground Penetrating Radar Signal ,
- Low SNR Scenarios ,
- Time Delay ,
- Signal Enhancement ,
- Clustering Techniques ,
- Eigenvalues ,
- Learning Algorithms ,
- Optimal Parameters ,
- Covariance Matrix ,
- Estimated Values ,
- Eigenvectors ,
- Fast Fourier Transform ,
- Regularization Parameter ,
- Elements ,
- Signal Model ,
- Noise Variance ,
- Noisy Signal ,
- Deconvolution Method ,
- Multiple Echoes ,
- Radar Pulse ,
- Relative Root Mean Square Error ,
- Stratified Medium ,
- Metallic Plane ,
- Amplitude Estimation ,
- Cramer-Rao Lower Bound ,
- Frequency Domain
- Author Keywords
- Author Free Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Ground Penetrating Radar ,
- Time Delay Estimation ,
- Ground Penetrating Radar Signal ,
- Low SNR Scenarios ,
- Time Delay ,
- Signal Enhancement ,
- Clustering Techniques ,
- Eigenvalues ,
- Learning Algorithms ,
- Optimal Parameters ,
- Covariance Matrix ,
- Estimated Values ,
- Eigenvectors ,
- Fast Fourier Transform ,
- Regularization Parameter ,
- Elements ,
- Signal Model ,
- Noise Variance ,
- Noisy Signal ,
- Deconvolution Method ,
- Multiple Echoes ,
- Radar Pulse ,
- Relative Root Mean Square Error ,
- Stratified Medium ,
- Metallic Plane ,
- Amplitude Estimation ,
- Cramer-Rao Lower Bound ,
- Frequency Domain
- Author Keywords
- Author Free Keywords
