本文提出在含有加成白色高斯雜訊環境中M維頻移鍵(MFSK)正交調變訊號之辨識方法;在未知訊號特性情況下,估測出調變型態,以提供足夠資訊作為通訊情報及電子戰等應用。辨識演算法乃是基於最大似然方法以非同調檢波方式辨識MFSK調變訊號。本文使用電腦模擬方式評估所提出演算法的辨識性能,而辨識性能主要以辨識成功率作為評估準則;模擬結果顯示當訊號雜訊比高於3 dB時辨識成功率可達90%以上。
This paper proposes a method for recognizing M-ary frequency-shift-keyed (MFSK) orthogonal modulation received in additive white Gaussian noise. Under the circumstance of lack the knowledge of signal characteristic, the modulation types are estimated to provide sufficient information for communication intelligence and electronic warfare applications. The recognition algorithm is based on the maximum-likelihood method to the recognition of MFSK modulations with noncoherent detection. The simulation results are present to evaluate the performances of the proposed algorithm. The performance of recognition is evaluated in terms of the probability of successful recognition. The simulation results shows that the percentage of correct recognition goes to 90% when SNR greater than 3 dB.