Parameter Estimation of LFM Signal with Narrowband Jamming Based on CS

Based on Compressive Sensing (CS), parameter estimation of Linear Frequency Modulation (LFM) signal could be done by using fewer sampling data. At the present time, there is no method that could resolve the problem that the result of parameter estimation of LFM signal with narrowband jamming is not satisfied well. As a result, this paper proposes a resolution to this problem. A Multi-component dictionary which could matching LFM signal and narrowband jamming both is constructed in this paper. And based on the Multi-component dictionary we can obtain a more effective spare representation of signals, and then we could get a better parameter estimation of LFM signal. The experiment result shows that we could obtain more accurate parameter estimation of LFM signal with narrowband jamming by using the method this paper proposed than by others under the same condition of samples.