Before revision:  whereas for applications with less constrained accuracy levels, only 5\% measurements are adequate to achieve approximately 100cm ranging precision. We also present StructSparseXcorr: cross-correlation via structured sparse representation, an addendum to the proposed computing framework to overcome shortcoming due to dictionary coherence. For cases of high compression factor and low signal-to-noise ratio , we show that StructSparseXcorr improves the performance of SparseXcorr by approximately 40\% .
After revision:  whereas for applications with less constrained accuracy levels, only 5\% compressed measurements. Its structured sparsity model is able to improve the ranging accuracy by 40\% under challenging recovery conditions (such as high compression factor and low signal-to-noise ratio , we show that StructSparseXcorr improves the performance of SparseXcorr by approximately 40\% .