Aiming at the problem that the existing algorithms can only achieve single-channel blind separation (SCBS) for signals with co-frequency and co-modulated, the gravitational field resampling particle filter (GFR-PF) algorithm was proposed. The GFR-PF can realize SCBS of binary phase shift keying (BPSK) and binary frequency shift keying (2FSK) that overlap in both time and frequency domain and are mixed in a single-channel with environmental noise. The GFR-PF was used to jointly detect symbols and estimate unknown parameters of the BPSK and 2FSK signals. Besides, the blind separation of different frequencies and different modulations signals, which was called the mixed heterogeneous signal blind separation (HSBS). The proposed algorithm not only improved the global search performance and tracking accuracy of the blind separation of the same frequency and same modulation mixed signals but also realized the HSBS of BPSK and 2FSK. Thus, the blind separation of heterogeneous mixed signals containing BPSK and 2FSK with different amplitudes and bit rates were achieved by the proposed algorithm. Based on this heterogeneous mixed signal model, it was proposed by this paper that anti-interception capability was improved through mixed transmission of BPSK and 2FSK signals with different amplitudes.

针对现有算法只能实现同频共调信号的单通道盲分离（SCBS）的问题，提出了重力场重采样粒子滤波（GFR-PF）算法。GFR-PF可以实现在时域和频域上都重叠并且与环境噪声混合在单通道中的二进制相移键控（BPSK）和二进制频移键控（2FSK）的SCBS。GFR-PF用于联合检测符号并估计BPSK和2FSK信号的未知参数。此外，不同频率和不同调制信号的盲分离被称为混合异质信号盲分离（HSBS）。该算法不仅提高了相同频率，相同调制混合信号盲分离的全局搜索性能和跟踪精度，而且实现了BPSK和2FSK的HSBS。因此，该算法实现了对包含不同幅度和比特率的BPSK和2FSK异构信号的盲分离。在此异构混合信号模型的基础上，提出了通过混合传输不同幅度的BPSK和2FSK信号来提高抗干扰能力。