An improved phase retrieval method in holographic data storage based on embedded encoding

Phase-modulation holographic data storage is imaging on the Fourier plane, and the imaging quality has a great influence on phase retrieval. The iterative Fourier transform algorithm in the non-interference phase retrieval algorithm is widely used because of its simple and stable system. By adding embedded data to the phase encoding method, the number of iterations can be effectively reduced. However, the intensity of high-frequency information in Fourier intensity is weaker and more susceptible to noise. To solve this problem, this paper proposes to use embedded data to improve the intensity of high-frequency information in the Fourier intensity distribution, thereby improving noise immunity. In simulation, the convergence speed of BER (the bit error rate) is faster under the same number of iterations.