Search

In this study, we investigated two waveform design problems for a dual-functional radar communication (DFRC) system, taking into consideration different constrained communication quality-of-service (QoS) requirements. Our objective was to minimize the mean-square error (MSE) of radar beampattern matching as the cost function. To this end, the multi-user interference (MUI) energy constraint and constructive interference (CI) constraint were, respectively, formulated to ensure the communication QoS. It is important to note that we designed a strict per-user MUI energy constraint at each sampling moment to achieve more accurate control over communication performance. Additionally, we introduced a constant-modulus constraint to optimize the efficiency of the radio frequency (RF) amplifier. To tackle the nonconvex waveform design problems encountered, we employed the alternative direction methods of multipliers (ADMM) technique. This allowed us to decompose the original problem into two solvable subproblems, which were then solved using the majorization–minimization (MM) method and geometrical structure. Finally, we obtained extensive simulation results which demonstrate the effectiveness and superiority of the proposed algorithm. [ABSTRACT FROM AUTHOR]

This paper proposes a novel transmit waveform design method of multiple input multiple output (MIMO) dual functional radar communication (DFRC) system based on an optimal constellation, which takes into account the waveform diversity advantages of MIMO radar in view of the competition between electronic information devices for spatial spectrum resource. Firstly, we constructed an optimization design model for the transmit waveform of the MIMO-DFRC system is constructed. Secondly, the communication information embedding strategy is designed based on the joint constraint of communication signal of amplitude and phase. Simultaneously, the constellation of the expected communication signal to further reduce the bit error rate (BER) of communication information transmission is optimized, which efficiently solved the BER by utilizing the sequential linear programming algorithm based on the first-order Taylor expansion (SLP-FTE). As the designed waveform can achieve the integrated functions of radar target detection and communication information transmission simultaneously, it can effectively solve the problem of spectrum congestion. Finally, the simulation analysis verifies the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

In this paper, we consider the joint design of transmit beamforming and receive filter for transmit beamspace (TB) multiple-input multiple-output (MIMO) radar red space-time adaptive processing (STAP) under the target information uncertainty. The associated robust joint design problem is formulated by maximizing the signal-to-interference-plus-noise ratio (SINR) to guarantee the target detection performance. An iterative optimization procedure is developed to resolve the NP-hard joint design problem. The optimized transmit beamforming weight vector and receive filter exhibit superior performance in terms of output SINR. Several simulation examples are presented to demonstrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

This letter deals with the joint design of transmit waveform and receive filter bank for airborne multiple-input multiple-output (MIMO) radar under the target uncertainties. Assuming that the spatial angle and the Doppler frequency of the target are unknown, we formulate the maximin joint design problem by maximizing the worst-case signal-to-interference-plus-noise ratio (SINR) under the energy constraint, flexible modulus constraint, and similarity constraint on the transmit waveform. To tackle this problem, we develop a computationally efficient algorithm based on iterative feasible point pursuit successive convex approximation (FPP-SCA). Numerical results are provided to demonstrate the effectiveness and robustness of the proposed algorithm. [ABSTRACT FROM AUTHOR]

• Precision electronic warfare is a new concept of blanket electronic jamming. • The combined jamming waveforms require low autocorrelation peak sidelobe levels. • The one-step method obtains the jamming waveform for computational efficiency. • The two-step method considers the worst-case energy control for jamming waveform. • Both methods proposed obtain better performance than the previous works. The goal of precision electronic warfare (PREW) is to implement blanket jamming on the targets precisely and ensure that friendly devices are not affected; thus, it requires controlling energy precisely in the spatial domain and covering the working bandwidth of the target equipment in the frequency domain. In this paper, we propose the algorithms to design waveforms with jamming characteristics for PREW, where the frequency requirement is converted to mitigation on the autocorrelation peak sidelobe level (APSL) of the combined waveform in the time domain. Then, we establish two multiobjective problems (MOPs) based on one-step and two-step methods, which have their own advantages in practice; that is, the former performs better on the computational efficiency by obtaining the waveform directly, and the latter controls the energy better in the worst-case scenario by recovering the covariance matrix of the waveform. To solve the two MOPs, the ℓ p -norm and a reasonable conversion are employed to approximate the highly nonconvex APSL terms, and the objective functions are transformed into quadratic terms within the majorization-minimization (MM) framework. An accelerating scheme is applied to expedite the proposed algorithms. Numerical examples demonstrate that the two proposed algorithms outperform the existing algorithms on the jamming performance and computational burden. [ABSTRACT FROM AUTHOR]