Sparse Array Design for DOA Estimation of Non-Gaussian Signals: From Global Postage-Stamp Problem Perspective

<div>(a) Physical sensors location <span class="nowrap"><svg height="9.10327pt" id="M167" style="vertical-align:-0.2324991pt" version="1.1" viewbox="-0.0498162 -8.87077 8.39864 9.10327" width="8.39864pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M597 536C514 627 443 676 315 676S72 616 72 475C72 255 443 260 443 129C443 65 375 30 319 30C204 30 143 77 70 158L35 130C115 36 196 -14 323 -14C443 -14 591 45 591 186C591 411 213 394 213 548C213 599 275 632 319 632C433 632 498 583 567 501L597 536ZM464 63C481 84 487 112 487 139C487 304 116 279 116 487C116 536 144 587 188 610L189 608C177 585 169 561 169 534C169 360 547 365 547 186C547 131 513 87 466 62L464 63Z"></path></g></svg>;</span> (b) sum coarray <span class="nowrap"><svg height="12.1619pt" id="M168" style="vertical-align:-3.291129pt" version="1.1" viewbox="-0.0498162 -8.87077 86.0321 12.1619" width="86.0321pt" xmlns="http://www.w3.org/2000/svg" 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Wireless Communications and Mobile Computing

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Figure 2

Figure 2: Sparse Array Design for DOA Estimation of Non-Gaussian Signals: From Global Postage-Stamp Problem Perspective 