Passive radar systems have traditionally relied on access to reference signals from transmitters of opportunity in order to function effectively. This dependence inherently limits the flexibility of passive radar deployment. However, this paper proposes an innovative blind channel estimation technique that removes the need for reference signals altogether. It introduces a blind channel estimation technique by investigating the connections between the transmitted signal, channel response, and received signal. Through in-depth analysis on the relationships between transmitted signals, channel responses, and received signals, a distributed passive radar methodology is developed to detect multiple targets using receivers lacking fixed illuminator signals. The viability and precision of this approach is validated through numerical analysis focusing on detector performance in scenarios of varying signal-to-noise ratios and numbers of radar receivers. This novel methodology and its promising technical findings break new ground, significantly expanding the boundaries of what is possible in reference-free passive radar implementation. By removing external signal requirements, this paper envisions more flexible, capable, and far-reaching application of a passive sensing paradigm to challenges requiring multi-target monitoring capability.