Generalizations of Cyclostationary Signal Processing: Spectral Analysis and Applications (Hardcover)

Antonio Napolitano

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商品描述

The relative motion between the transmitter and the receiver modifies the nonstationarity properties of the transmitted signal. In particular, the almost-cyclostationarity property exhibited by almost all modulated signals adopted in communications, radar, sonar, and telemetry can be transformed into more general kinds of nonstationarity. A proper statistical characterization of the received signal allows for the design of signal processing algorithms for detection, estimation, and classification that significantly outperform algorithms based on classical descriptions of signals.Generalizations of Cyclostationary Signal Processing addresses these issues and includes the following key features: 

  • Presents the underlying theoretical framework, accompanied by details of their practical application, for the mathematical models of generalized almost-cyclostationary processes and spectrally correlated processes; two classes of signals finding growing importance in areas such as mobile communications, radar and sonar.
  • Explains second- and higher-order characterization of nonstationary stochastic processes in time and frequency domains.
  • Discusses continuous- and discrete-time estimators of statistical functions of generalized almost-cyclostationary processes and spectrally correlated processes.
  • Provides analysis of mean-square consistency and asymptotic Normality of statistical function estimators.
  • Offers extensive analysis of Doppler channels owing to the relative motion between transmitter and receiver and/or surrounding scatterers.
  • Performs signal analysis using both the classical stochastic-process approach and the functional approach, where statistical functions are built starting from a single function of time.

商品描述(中文翻譯)

傳送器和接收器之間的相對運動會改變傳輸信號的非穩態特性。特別是,在通信、雷達、聲納和遙測中採用的幾乎所有調製信號都具有幾乎循環穩態特性,可以轉化為更一般的非穩態特性。對接收信號進行適當的統計特徵描述,可以設計用於檢測、估計和分類的信號處理算法,這些算法在性能上明顯優於基於傳統信號描述的算法。《循環穩態信號處理的廣義化》解決了這些問題,並包括以下主要特點:

- 提供了廣義幾乎循環穩態過程和頻譜相關過程的數學模型的基礎理論框架,並詳細介紹了它們在移動通信、雷達和聲納等領域的實際應用。
- 解釋了時間域和頻率域中非穩態隨機過程的二階和高階特徵描述。
- 討論了廣義幾乎循環穩態過程和頻譜相關過程的連續時間和離散時間統計函數估計器。
- 提供了統計函數估計器的均方一致性和漸近正態性分析。
- 對由於傳送器和接收器之間和/或周圍散射體的相對運動而引起的多普勒通道進行了廣泛分析。
- 使用傳統隨機過程方法和功能方法進行信號分析,其中統計函數是從單個時間函數開始構建的。

以上是對《循環穩態信號處理的廣義化》的介紹。