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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Performance of a nonlinear adaptive SBS-MAP detector usingsoft-statistics for digital transmissions over HF channels
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Performance of a nonlinear adaptive SBS-MAP detector usingsoft-statistics for digital transmissions over HF channels

机译:使用软统计的非线性自适应SBS-MAP检测器的性能,用于HF信道上的数字传输

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摘要

The effectiveness of the adaptive maximum a posteriori (MAP)nreceiver in Cusani and Mattila is verified for digital HF links betweennmobile and/or fixed units. Following Cusani and Mattila (1998), ansuitable MAP algorithm is employed to compute symbol-by-symbol (SBS) thena posteriori probabilities (APPs) of the channel state; from these, thendetected data stream is obtained. The same APPs are employed by annadaptive nonlinear Kalman-like filter to estimate recursively thentime-varying channel with fast convergence and good tracking properties,novercoming the delay problem suffered by conventional adaptive MLSE-VAndetectors. Computer simulations allow to compare the adaptive SBS-MAPnwith other receivers (DFE, MLSE) and verify its effectiveness in the HFnenvironment
机译:对于移动和/或固定单元之间的数字HF链路,已经验证了Cusani和Mattila中的自适应最大后验(MAP)接收器的有效性。继Cusani和Mattila(1998)之后,采用了合适的MAP算法来计算信道状态的逐个符号(SBS)和后验概率(APP)。从这些,然后获得检测到的数据流。自适应非线性卡尔曼样滤波器采用相同的APP递归估计时变信道,具有快速收敛和良好的跟踪特性,克服了传统自适应MLSE-VAn检测器的时延问题。计算机仿真可以将自适应SBS-MAPn与其他接收器(DFE,MLSE)进行比较,并验证其在HFn环境中的有效性

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