Abstract
The existing joint radar-communication (JRC) based on linear frequency modulation (LFM) is imperfect because of high autocorrelation sidelobe and poor nearby target detection performance. This paper proposes a JRC signal based on the non-LFM (NLFM) wave by using minimum shift keying (MSK). Then, this paper analyzes the performance of ambiguity function (AF) characteristics, detection probability, time-frequency characteristics, and communication rate for the proposed JRC signal. It is concluded that the proposed JRC signal has both excellent radar and communication characteristics. Under the condition of low data volume, the simulation results illustrate that (i) compared with the existing LFM-MSK signal, our JRC signal’s sidelobe level of the time AF is significantly lower; the range resolution is improved significantly; (ii) the proposed JRC signal has no loss on velocity resolution and detection probability; and (iii) the proposed JRC signal has excellent time-frequency characteristics.
Highlights
Wireless communication and radar detection, which are widely used in modern society, have different application scenarios, architectures, and frequency bands
In order to evaluate the overall performances of joint radar-communication (JRC) signal, the radar performance criteria and communication performance criteria are analyzed, respectively,. We focus on such criteria: ambiguity function (AF) for JRC, range resolution, detection probability, spectral characteristics, and communication rate of JRC signal
In order to solve the problem of high autocorrelation sidelobe and poor nearby target detection performance of linear frequency modulation (LFM)-minimum shift keying (MSK) integration signal, this paper proposes an NLFM-MSK integration signal which combines NLFM signal and MSK signal and describes the generation process and time-domain characteristics of JRC signal in detail
Summary
Wireless communication and radar detection, which are widely used in modern society, have different application scenarios, architectures, and frequency bands. This method can effectively reduce the interference between radar main lobe and communication sidelobe, but there are many waveform limitations. Under the optimizations’ constraints, literature [20,21,22,23] proposed the beamforming technology to realize MIMO communication and radar detection, and some algorithms were designed to solve the nonconvex problems in the JRC waveform.
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