MIMO Radar Imaging Based on Smoothed <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-4.524699pt" id="M1" height="17.2995pt" version="1.1" viewBox="-0.0657574 -12.7748 11.2884 17.2995" width="11.2884pt"><g transform="matrix(.018,0,0,-0.018,0,0)"><path id="g113-109" d="M238 681C243 705 239 712 230 712C217 712 156 682 75 674L70 648H105C148 648 153 641 144 598L39 110C18 11 35 -12 55 -12C90 -12 166 36 221 103L205 125C174 93 130 65 118 65C112 65 108 68 114 96L238 681Z"/></g><g transform="matrix(.013,0,0,-0.013,4.364,4.308)"><path id="g50-49" d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"/></g></svg> Norm

<div>Contour plot of reconstructed images using (a) OMP, (b) Bayesian method with Laplace prior, (c) SL0, and (d) ANSL0.</div>

Mathematical Problems in Engineering

fig9

Figure 9

Figure 9: MIMO Radar Imaging Based on Smoothed <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-4.524699pt" id="M1" height="17.2995pt" version="1.1" viewBox="-0.0657574 -12.7748 11.2884 17.2995" width="11.2884pt"><g transform="matrix(.018,0,0,-0.018,0,0)"><path id="g113-109" d="M238 681C243 705 239 712 230 712C217 712 156 682 75 674L70 648H105C148 648 153 641 144 598L39 110C18 11 35 -12 55 -12C90 -12 166 36 221 103L205 125C174 93 130 65 118 65C112 65 108 68 114 96L238 681Z"/></g><g transform="matrix(.013,0,0,-0.013,4.364,4.308)"><path id="g50-49" d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"/></g></svg> Norm 

Mathematical Problems in Engineering

MIMO Radar Imaging Based on Smoothed Norm

Figure 9