Chaotic spread-spectrum sequences using chaotic quantization

Chaos is widely used in spread-spectrum communication research work due to its pseudorandom property and high sensitivity to initial value. But when applying chaos to practical spread-spectrum communication, there exists the finite precision problem because of the precision limitation of hardware, which leads chaos to short period. A new method of chaotic quantization is presented in this paper aiming to get better properties as well as overcome the finite precision problem to some extent. And some analysis and simulation result are given to show the advantage of this method to the previous solving methods such as multilevel quantization.