This paper focuses on waveform design for joint radar and communication systems and presents a new subset selection process to improve the communication error rate performance and global accuracy of radar sensing of the random stepped frequency permutation waveform. An optimal communication receiver based on integer programming is proposed to handle any subset of permutations followed by a more efficient sub-optimal receiver based on the Hungarian algorithm. Considering optimum maximum likelihood detection, the block error rate is analyzed under both additive white Gaussian noise and correlated Rician fading. We propose two methods to select a permutation subset with an improved block error rate and an efficient encoding scheme to map the information symbols to selected permutations under these subsets. From the radar perspective, the ambiguity function is analyzed with regards to the local and the global accuracy of target detection. Furthermore, a subset selection method to reduce the maximum sidelobe height is proposed by extending the properties of Costas arrays. Finally, the process of remapping the frequency tones to the symbol set used to generate permutations is introduced as a method to improve both the communication and radar performances of the selected permutation subset.
翻译:本文侧重于联合雷达和通信系统的波形设计,并提出了一个新的子集选择程序,以提高通信错误率性能和随机梯度波形雷达感测的全球准确性。基于整数程序,建议使用一个最佳通信接收器,处理根据匈牙利算法进行的任何一组变相,然后有一个效率更高的亚最佳接收器。考虑到最佳可能性的检测,根据添加的白色高尔西亚噪音和相联的Rician退缩,对区块误差率进行了分析。我们建议了两种方法来选择一个调整子集,该子集的区块误差率得到改进,并提出了一个有效的编码方案,用以绘制信息符号图示这些子集下选定的变异。从雷达角度,对模糊功能进行了与目标检测的本地和全球准确性有关的分析。此外,还提议了一种子集选择方法,通过扩展科斯塔阵列的特性来降低最大侧边高度。最后,将频率重新绘制用于生成变异形的符号集的过程被引入了一种方法,以改进所选的通信和雷达性能。