BLIND PARAFAC SIGNAL DETECTION FOR UNIFORM CIRCULAR ARRAY WITH POLARIZATION SENSITIVE ANTENNAS

极化敏感均匀圆阵中PARAFAC信号检测算法(英文)

The received signal of the polarization sensitive array is proved to have trilinear model characteristics. The blind parallel factor（PARAFAC） signal detection algorithm for the polarization sensitive array is proposed. The trilinear alternating least square （TALS） algorithm is used to abtain the source matrix, and then the matrix is judged. Simulation results show that the bit error rate （BER） of the detection algorithm is close to that of the non-blind decorrelating method and the algorithm works well under the array error condition. BER difference between the non-blind method and this algorithm is less than 2 dB under a high SNR. The algorithm is blind and robust. The channel fading, the direction of arrive（DOA） imformation and the polarization information are needless in the algorithm.

分析了极化敏感均匀圆阵接收到的信号,该信号具有三线性模型特征。提出了极化敏感均匀圆阵中平行因子信号检测算法。该算法利用三线性交替最小二乘(TALS)算法估计出信源矩阵,然后对其进行判决。仿真结果表明:该算法误码率性能接近于非盲解相关方法;与非盲解相关方法相比,在较高的SNR情况下误码率相差不到2dB;且在阵列扰动情况下仍具有较好的误码率性能。该算法无需空域信息和极化信息,是一种盲鲁棒方法。