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As shown in Fig. 3, for the same number of measurements, the probabilities of exact reconstruction differed little with different measurement matrices.
Then, we will measure the sub-bands at different DWT levels with different measurement matrices corresponding to the block size in each level.
Different measurement matrices.
In these comparisons, 500 attempts were executed for generating the three different measurement matrices.
In order to acquire the reconstruction performance of reconstruction algorithms under different measurement matrices, the measurement signals are obtained by 1000-fold cross-validations using different measurement matrices, Gaussian random measurement matrix, and Bernoulli random measurement matrix.
It should be pointed out that, for the same sparse signal, the measurements obtained from different measurement matrices are different.
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Different models lead to different measurement matrix dimensions, which may affect the parameter updates in VSBL.
Fig. 5 Comparison of ROC curves of different measurement matrix in CS MIMO radar (resolution 2°).
Fig. 4 Comparison of ROC curves for different measurement matrix in CS MIMO radar (resolution 7°). Figure 5 shows ROC curve for angle bins between 0 ° to 10 ° with 2 ° resolution and the same conditions as Fig. 4.
Fig. 4 MSE vs. CNR with different measurement-matrices (optimized by WCM and proposed FAWC, respectively) and sparsity K, where N=128, P=128, α=0.9, and M=64 are considered Fig. 5 MSE vs. CNR with different measurement-matrices (optimized by WCM and FAWC, respectively) and M, where N=128, P=128, α=0.9, and K=13 are considered.
Where P=N, M=N/2α = 0.9, K = 13, different measurement-matrices (i.e., constructed by FAWC method and WCM method), and different N (i.e., N=160, N=192, N=224 and N=256) are considered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com