Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ground penetrating radar (GPR) has been extensively used as a sensory system for non-destructive evaluation of transportation infrastructure. High operation efficiency is one critical specification for GPR system design. Compressive sensing (CS) coupled orthogonal frequency division multiplexing (OFDM) techniques are utilized in GPR system design to leverage the operating efficiency. OFDM technique enables multi-tone signal transmission and receiving, while CS technique allows sensing with reduced set of frequency tones. The image reconstruction in compressive OFDM GPR is highly dependent on the degree of sparsity of the object signal. A frequency domain clutter removal technique is developed to leverage the sparsity of GPR signal so as to accomplish the higher compression ratio. This technique is evaluated using the real field sensing data.
['Yu Zhang', 'Tian Xia']
I am writing a research paper on a idea Frequency domain clutter removal for compressive OFDM ground penetrating radar
[{"from": "human", "value": "I am writing a research paper on a idea Frequency domain clutter removal for compressive OFDM ground penetrating radar"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Ground penetrating radar (GPR) has been extensively used as a sensory system for non-destructive evaluation of transportation infrastructure. High operation efficiency is one critical specification for GPR system design. Compressive sensing (CS) coupled orthogonal frequency division multiplexing (OFDM) techniques are utilized in GPR system design to leverage the operating efficiency. OFDM technique enables multi-tone signal transmission and receiving, while CS technique allows sensing with reduced set of frequency tones. The image reconstruction in compressive OFDM GPR is highly dependent on the degree of sparsity of the object signal. A frequency domain clutter removal technique is developed to leverage the sparsity of GPR signal so as to accomplish the higher compression ratio. This technique is evaluated using the real field sensing data."}]