Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

Abstract

It is challenging to detect and track frequency hopping spread spectrum (FHSS) signals due to their wideband frequencies and the limitations of current hardware. In the implementation, there has been a trend of conducting compressive sensing for blind signal processing of FHSS signals. The modulated wideband converter (MWC) is a type of sub-Nyquist sampling system, which accomplishes the recovery of highly accurate broadband sparse signals by multichannel sub-Nyquist sampling sequences. However, it is difficult to adjust MWC to FHSS signals, because the support set and sparsity change with the hop. In this paper, we propose a channelized MWC scheme in order to solve these problems. First, the proposed method distributes the sub-bands to different channels. We can derive and refresh the frequency support set rapidly without recovery. Secondly, by reconstructing the low-pass filter and decimation, we reduced the computational cost to 1/m as the traditional m-channel MWC scheme, where m is the number of channels. Moreover, we propose a series of strategies to estimate carrier frequency. The numerical simulations show that our method can detect the channel, which contains FHSS signals in the case of a low signal-to-noise ratio. Furthermore, the estimation method leads to the successful estimation of the FHSS carrier frequency. This indicates that our method is also effective in the broadband non-cooperative spectrum sensing.

Frequency Hopping Signals Tracking and Sorting Based on Dynamic Programming Modulated Wideband Converters

“…Many improved structures, such as distributed MWC (DMWC) [33], random partial Fourier structured MWC (RPFMWC) [34], and array based MWC [35], have been proposed for specific signal processing. In our previous work [36], a method for detecting FH signals based on MWC was proposed, based on channelization and energy detection. However, the method focuses on single-target FH signal detection and is not applicable to multi-target signals.…”

Development of a method of increasing the interference immunity of frequency-hopping spread spectrum radio communication devices

“…In the article [9], a method for finding FHSS signals and estimating the carrier frequency is proposed. The indicated method allows increasing the interference immunity by more accurate estimation of carrier parameters and finding FHSS frequency elements.…”

“…However, the scientific results presented in the known publications [1][2][3][4][5][6][7][8][9][10][11][12] have a number of shortcomings, namely:…”

“…Thus, when the radio communication device is exposed to barrage jamming and partial band noise interference with increasing multiplicity of manipulation, the interference immunity of signal reception is improved (blocks 6,9,13). Under the influence of multi-tone interference to reduce the probability of bit error, the position of the signal ensemble must be reduced (blocks 7,10,14).…”

Method of Signal Parameters Estimation of Radiostations With Fast Frequency Hopping Spread Spectrum

“…Проте даний алгоритм не забезпечує отримання оцінок параметрів сигналу. У [4] для виявлення та оцінювання частоти сигналів із ППРЧ запропоновано використовувати багатоканальний приймач на основі широкосмугового модуляційного конвертора, а в [5] наведено частотно-часовий алгоритм оцінювання параметрів ППРЧ. Точність оцінювання частотно-часових параметрів для запропонованих методів є недостатньою для ідентифікації радіостанцій, що є досить важливим для систем радіомоніторингу.…”