Scholarlink

<p>For linear chirp signals with time-varying amplitudes, we propose using their spectrum to estimate parameters. First, we extend the spectrum phase unwrapping algorithm developed in our previous work to estimate phase parameters. Then, we develop a method utilizing spectrum amplitude to estimate instantaneous amplitude parameters, augmented by a refinement technique to improve accuracy. Additionally, this study identifies and analyzes inherent phase errors in the O’Shea refinement algorithm when applied to signals with time-varying amplitudes. Compared to existing methods, our approach significantly reduces computational complexity, as it requires only a single spectrum calculation. Simulation results demonstrate the superiority of the proposed method in terms of both SNR threshold and computational efficiency.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Estimation of Linear Chirp Signals with Time-Varying Amplitudes

  • 期刊论文

  • 发表日期：

    2025年6月26日

查看全文
  • Xiaodong Jiang

摘要

For linear chirp signals with time-varying amplitudes, we propose using their spectrum to estimate parameters. First, we extend the spectrum phase unwrapping algorithm developed in our previous work to estimate phase parameters. Then, we develop a method utilizing spectrum amplitude to estimate instantaneous amplitude parameters, augmented by a refinement technique to improve accuracy. Additionally, this study identifies and analyzes inherent phase errors in the O’Shea refinement algorithm when applied to signals with time-varying amplitudes. Compared to existing methods, our approach significantly reduces computational complexity, as it requires only a single spectrum calculation. Simulation results demonstrate the superiority of the proposed method in terms of both SNR threshold and computational efficiency.