Blind Estimation of Interleaver Parameter With a Limited Number of Data

Mingyu Jang,Dongweon Yoon,Geunbae Kim,Yoonji Kim

doi:10.1109/access.2020.2986273

Abstract

In non-cooperative contexts, one needs to estimate communication parameters by using collected data without any prior information. Particularly, when collecting only a limited number of data, estimation becomes a more challenging task. This paper presents a method for estimation of interleaver parameter when only a limited number of collected data are available. We first create additional data by combining a limited number of collected data. We then investigate the rank deficiency of the matrices composed of the collected and additionally-created data. Finally, we estimate the interleaver parameter by using the difference of average rank deficiencies. Through computer simulations, we validate the proposed method in terms of detection probability and the number of false alarms.

Highlights

Blind estimation of communication parameters can make essential contributions to both cooperative and noncooperative contexts, such as mobile wireless communications, surveillance systems, and cognitive radios [1]
When only a limited number of collected data are available in a non-cooperative context, to obtain a sufficient number of vectors for calculation of the rank deficiency distribution, we propose creating additional vectors
Note that other conventional methods, such as [23] and [25]–[27], cannot estimate the interleaving period even when M is P × P bits because they generally need more than P × P bits of collected data for estimation: method in [23] is based on an L × P rectangular matrix for L > P; and methods in [25]–[27] use the rank deficiency distribution for estimation, which requires a large number of P × P square matrices

Summary

Introduction

Blind estimation of communication parameters can make essential contributions to both cooperative and noncooperative contexts, such as mobile wireless communications, surveillance systems, and cognitive radios [1]. For cooperative contexts, such as in 4G-LTE and 5G new radio mobile communication systems, some of the communication parameters should be blindly detected among the candidates. For non-cooperative contexts, such as spectrum surveillance and cognitive radios, exploiting only the received data, we must blindly estimate the communication parameters used in a transmission system including source coding, channel coding, interleaving, scrambling, modulation and more, because the receiver does not know any parameters used in the transmitter [6]–[29].

Methods

Results

Conclusion