Reduced-dimension space-time adaptive processing based on angle-Doppler correlation coefficient

High Dimension Space Time Adaptive Processing Based on FFT

One of the advantages of the joint space time adaptive processing technique is that the freedom degree can be increased greatly without adding any antenna elements, which can improve the ability of the anti-jamming array to reject the narrow band jamming. But the disadvantage is that the computation will be more and more complex with the processing dimension being higher and higher. In this pap...

Reduced dimension space-time processing for multi-antenna wireless systems

The need for wireless communication systems has grown rapidly during the last few years. Moreover, there is a steady growth in the required data rates due to the fact that more and more users request high-bit-rate services. To meet those requirements, current and next-generation wireless systems and networks such as wireless LANs (e.g., IEEE 802.11a) will support much higher data rates compared...

A Novel Dimension Reduction Technique based on Correlation Coefficient

In this paper, a novel simple dimension reduction technique for classification is proposed based on correlation coefficient. Existing dimension reduction techniques like LDA is known for capturing the most discriminant features of the data in the projected space while PCA is known for preservin g the most descriptive ones after projection. Our novel technique integrates correlation coefficient ...

Space-time adaptive processing

Space-time Adaptive Processing Based on Weighted Regularized Sparse Recovery

In this paper, novel space-time adaptive processing algorithms based on sparse recovery (SR-STAP) that utilize weighted l1-norm penalty are proposed to further enforce the sparsity and approximate the original l0-norm. Because the amplitudes of the clutter components from different snapshots are random variables, we design the corresponding weights according to two different ways, i.e., the Cap...