5 years ago

Robust adaptive beam-forming optimization method based on diagonal-loading and MSE criterion

Smart antenna can effectively suppress multipath interference, co-channel interference, and improves the transmission quality of signal and the utilization of spectrum, so it is widely applied in wireless communication network. To explore the optimization problem about smart antenna receiving array and sensor network which exists in radar, sonar and other systems, here we presents a kind of adaptive beam-forming algorithm based on diagonal-loading and mean square error (MSE) criterion. Such a novel algorithm could give the optimal solution of weight direction vector, and at the same guarantees its own robustness. Furthermore, it also possesses the advantage of shortening the convergence time of weight direction vector, and decreasing the sensitive issue of model error in high SNR environment. In our simulation experiments, it is shown that the proposed algorithm improves the performance of receiver network in sonar system, and to a certain extent achieves the signal optimization.

Publisher URL: www.sciencedirect.com/science

DOI: S0960077918300304

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.