@inproceedings{7d3f118a9d4149a3b9d43eea829dda25,
title = "Optimal waveform synthesis for adaptive radar",
abstract = "Target's echoes from different radar transmitted waveforms can provide different target signatures As for adaptive radar, the transmitted waveforms are adaptive to the operational environment to acquire optimal performance. This paper presents a waveform synthesis method for adaptive radar based on a cascade of the water-filling algorithm and iterative least squares (LS) approach. The optimal energy spectrum density (ESD) of the synthesized waveform is obtained by the water-filling algorithm based on maximizing the mutual information (MI) criterion; the echo can then extract the maximum amount of target information. The iterative LS approach is used to synthesize the complex-valued waveform in time domain while the modulus of synthesized waveform remains constant, which is helpful for maintaining the transmitter efficiency. Simulation results show that the proposed optimal waveform synthesis method is competent for adaptive radar.",
keywords = "adaptive radar, iterative least squares, mutual information, water-filling algorithm",
author = "Xiongjun Fu and Shuilian Peng and Chengyan Zhang and Min Xie and Ligthart, {L. P.}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 ; Conference date: 05-08-2016 Through 08-08-2016",
year = "2016",
month = nov,
day = "22",
doi = "10.1109/ICSPCC.2016.7753657",
language = "English",
series = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings",
address = "United States",
}