An Optimizing Method of OFDM Radar Communication and Jamming Shared Waveform Based on Improved Greedy Algorithm

Shengkun Zhu,Dongjin Li,Jiajun Zuo,Ruijuan Yang,Yating Ding,Xiaobai Li

doi:10.1109/access.2020.3030159

Shengkun Zhu, Dongjin Li + Show 4 more

Open Access

https://doi.org/10.1109/access.2020.3030159

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Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 27	License type: CC BY 4.0

Affiliation: Wuhan University

Abstract

Orthogonal frequency division multiplexing (OFDM) has been widely used as radar, communication, and jamming shared waveform. To improve the power utilization and efficiency of radar, communication, and jamming integrated system, we propose an adaptive OFDM shared waveform design method. Considering the problem of jamming path propagation loss and sensitivity of frequency response error of radar and communication channels, we propose a robust OFDM shared waveform design method. Firstly, the suppressed jamming entropy model, the detection probability (Pd) of the stationary point target model, the data information rate (DIR) model with a given bit error rate (BER) are formulated. With the constraints on total power and BER, the adaptive and the robust OFDM optimization problems are formulated. Then we derive the Karush-Kuhn-Tucker (KKT) conditions of the two optimization problems and an improved greedy algorithm is proposed to solve the optimization problems, and the optimal power and bit allocation schemes for the two problems are obtained. Finally, we present several numerical results to demonstrate the effectiveness of the proposed method.

Highlights

With the development of electronic information technology and the demand for information warfare, the integration of multi-functional electronic systems is an effective way to solve the problem of low comprehensive efficiency of radar, communication, and jamming integrated systems [1]
When the path propagation loss and frequency response are the upper bound of the uncertainty class, the detection probability of the robust waveform is not always better than that of the non-robust waveform, since the robust and non-robust waveform is not optimal at this time
When the real path transmission loss, and radar and communication frequency response are lower bound of uncertainty class, the data information rate (DIR) of robust and non-robust shared waveform decreases with the increase of uncertainty class width, and the DIR of the robust shared waveform is always better than the non-robust Orthogonal frequency division multiplexing (OFDM) shared waveform

Summary

INTRODUCTION

With the development of electronic information technology and the demand for information warfare, the integration of multi-functional electronic systems is an effective way to solve the problem of low comprehensive efficiency of radar, communication, and jamming integrated systems [1]. It can be seen that in the adaptive waveform design of OFDM shared signal, channel capacity is generally used as the objective function of communication performance optimization. Aiming at the above problems, this paper proposes an adaptive OFDM shared waveform optimization method based on suppression jamming and radar detection performance. The feedback of environment information may not be accurate in practical application To solve this problem, we propose a robust OFDM shared signal waveform optimization method under the worst channel characteristics. The simulation results show that the performance of this method is close to the VOLUME 8, 2020 theoretically optimal value, and the robust OFDM shared waveform improves the radar, communication, and jamming performance in the worst cases. This extreme waveform design criterion is not adopted, but it is meaningful to take the result of (8) as the theoretical value

RADAR WAVEFORM CRITERIA

BIT AND POWER ALLOCATION METHOD BASED ON IMPROVED GREEDY ALGORITHM

SIMULATION AND ANALYSIS

Findings

CONCLUSION