空時頻移鍵控(ST-FSK)的分離ML信號檢測方法
Implementation of ST-FSK Detection Based on Decoupled Maximum Likelihood Detection
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摘要: 該文提出一種分離最大似然(ML)信號檢測方法,在信道狀態(tài)信息已知的假設(shè)下,利用信號的正交性特點,使多個接收矢量的ML聯(lián)合檢測問題分離為若干個矢量的單獨ML檢測問題。若采用合適的信道估值算法,在運算量上不僅大大低于非相干檢測,還能獲得性能的提高。仿真實驗驗證了算法的有效性。Abstract: This paper presents a decoupled maximum likelihood(ML) detection algorithm, which utilizes the orthogonal characteristic of signal, decoupled the combined ML detection into separated one, under the assumption that CSI is known at the receiver. Utilizing appropriate channel estimation algorithm, the decoupled algorithm not only sharply reduces the computational complexity compared to the noncoherent ML detection, but also improves the performance. Simulation results confirm the effectiveness of the algorithm.
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