Direction of Arrival Estimation for Coherent Signals’ Method Based on LSTM Neural Network

<div>The signal spectrum of the incoming source is uncorrelated based on the LSTM method in the following cases: (a) 1 signal, <span class="nowrap"><svg height="11.0292pt" id="M194" style="vertical-align:-0.2325001pt" version="1.1" viewbox="-0.0498162 -10.7967 82.82 11.0292" width="82.82pt" 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="M860 0V35C782 43 777 50 775 142L766 516C764 599 768 607 848 615V650H646L450 212L258 650H51V615C137 607 144 593 136 480L120 282C112 177 105 124 99 93C92 57 74 40 17 35V0H258V35C191 41 172 50 168 95C164 126 163 173 168 256L180 517H184L388 7H416L637 527H642L644 142C644 50 639 43 564 35V0H860Z"></path></g><g transform="matrix(.013,0,0,-0.013,11.544,0)"><path d="M442 495C434 557 427 602 423 639C405 645 348 665 284 665C142 665 55 579 55 469C55 373 127 319 229 267C304 227 348 190 348 131C348 67 309 25 248 25C152 25 93 138 73 202L38 190C45 130 58 46 68 21C81 15 100 7 128 -1C158 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Applied Computational Intelligence and Soft Computing

fig6

Figure 6

Figure 6: Direction of Arrival Estimation for Coherent Signals’ Method Based on LSTM Neural Network 