一种基于改进Turbo编码的盘旋无人机测控算法

Measurement and control algorithm of hovering UAV based on improved Turbo code

任务区域盘旋是无人机的重要飞行状态。传统基于RS-Turbo码的系统需要提供RS译码及Turbo译码2种不同的译码算法,使得译码器的软硬件设计复杂化,无法满足盘旋飞行的无人机跟踪定位信息传输要求。本文从理论上分析了Turbo码的性能特点,提出一种改进的二维Turbo迭代算法,分别对信息进行行和列的编码和校验,译码采用软输入软输出的MAP译码器,并应用在无人机测控仿真中。计算机仿真结果表明,与传统算法相比,该算法可以保证在译码BER到达错误平层时迭代的次数减少1/2,低信噪比时BER性能很快到达10-4量级,其性能有大约2～3 dB的提升,同时该算法易于工程实现。

Hovering on the task regions is an important flight state of UAV（Unmanned Aerial Vehicle）.Traditional RS-turbo system needs RS and Turbo decoders,and this makes the decoder design too complex to be applied in transmission of hovering UAV＇s location information.In this paper,a measurement and control algorithm of hovering UAV based on improved Turbo code is proposed.The row and column of information are respectively coded and checked,and a soft-input soft-output MAP decoder is adopted.Computer simulation shows that,compared with the traditional algorithm,this algorithm could ensure that the iteration number be reduced to 1/2 when the decoding BER（bit error rate） reaches error floor,and the BER performance can quickly reach 10-4 order at low SNR,giving 2-3 dB performance improvement.In addition,it can be implemented easily in engineering.