Proof-of-Concept Research on Pseudo-Random Noise Radar Using Sequential Sampling Method

Quasi-Coherent Noise Jamming to LFM Radar Based on Pseudo-Random Sequence Phase-modulation

A novel quasi-coherent noise jamming method is proposed against linear frequency modulation (LFM) signal and pulse compression radar. Based on the structure of digital radio frequency memory (DRFM), the jamming signal is acquired by the pseudo-random sequence phase-modulation of sampled radar signal. The characteristic of jamming signal in time domain and frequency domain is analyzed in detail....

Calibration of Correlation Radiometers Using Pseudo-Random Noise Signals

The calibration of correlation radiometers, and particularly aperture synthesis interferometric radiometers, is a critical issue to ensure their performance. Current calibration techniques are based on the measurement of the cross-correlation of receivers' outputs when injecting noise from a common noise source requiring a very stable distribution network. For large interferometric radiometers ...

Sequential Sampling Method

Using a novel method for random noise reduction of seismic records

Random or incoherent noise is an important type of seismic noise, which can seriously affect the quality of the data. Therefore, decreasing the level of this category of noises is necessary for increasing the signal-to-noise ratio (SNR) of seismic records. Random noises and other events overlap each other in time domain, which makes it difficult to attenuate them from seismic records. In this r...

Deblocking Filter Based Artifact Reduction Using Pseudo Random Noise Masking

In this Project, we propose an algorithm for block artifact reduction for which Pseudo random noise masking is used. In H.264 Video Compression Standard, a Deblocking filter is implemented to reduce the quantization noise around the block boundaries. But there would still remain artifacts within blocks. These artifacts are known as Contour artifacts. These Contour artifacts further be reduced b...