Simulation results show that the proposed SW blind channel separation algorithm is of high separation precision and stronger anti-noise-interference ability.
仿真试验表明，该分离算法能对短波盲信道进行有效分离，具有分离精度高，抗噪声干扰能力强的优点。
It implies that under certain conditions, the proposed approach for ground target identification is of the better feasibility and strong anti-noise-interference ability.
表明该大地目标辨识方法在一定条件下是可行的，具有强的抗噪声干扰能力。
Simulation results show that the proposed blind channel algorithm is of high separation precision, high right separation rate and stronger anti-noise-interference ability.
仿真结果表明，本文所提出的短波盲信道快速分析算法的分离精度和信道正确分离率都较高、抗噪声干扰能力强。
Simulation results show that the proposed blind channel algorithm is of high separation precision, high right separation rate and stronger anti-noise-interference ability.
仿真结果表明，本文所提出的短波盲信道快速分析算法的分离精度和信道正确分离率都较高、抗噪声干扰能力强。
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