MIMO radar waveform design method with controllable spatial synthesis signal characteristics

Abstract

The invention discloses a MIMO radar waveform design method with controllable spatial synthesis signal characteristics, which is specifically implemented according to the following steps: step 1, under the constraint of a constant modulus, constructing an optimization model with higher reflection signal power in a target direction and irrelevance of reflection signals in different target directions by optimizing a transmitted waveform x; 2, constructing a Lagrange multiplier item, and migrating the nonlinear non-convex constraint condition in the optimized model in the step 1 to a target function to be simplified; and 3, solving a target function in an alternate optimization mode, updating the Lagrange multiplier item, and repeating the iteration step to obtain an optimized waveform x. According to the MIMO radar waveform design method with the controllable spatial synthesis signal characteristics, the centralized MIMO radar can emit the waveform with the specific directional diagram so as to realize simultaneous detection of targets in different directions, and the robustness of the centralized MIMO radar for multi-target detection is enhanced.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing methods, and in particular relates to a MIMO radar waveform design method with controllable spatial synthesis signal characteristics. Background technique [0002] Centralized multiple-input multiple-output (MIMO) radar has multiple transmitting and receiving antennas, and each transmitting antenna can transmit different waveforms, which has the advantage of waveform diversity and makes the radar system have a higher degree of freedom. MIMO radar transmission waveform design has always been one of the important issues that people pay attention to. Taking advantage of the advantages of waveform diversity, the transmission pattern can be flexibly designed for different working scenarios and requirements. When the MIMO radar needs to observe the entire space and search for low-speed targets, it can transmit orthogonal waveforms to generate an omnidirectional pattern. Compared with tr...

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Problems solved by technology

This modeling method can only limit the total cross-correlation level, and cannot accurately control the cross-correlation pattern between two signals, which will affect the detection performance

In addition, the existing methods all consider the cross-correlation pattern of the signal, but in practice, it is the correlation coefficient of the cross-correlation pattern of the two direction signals that affects the detection performance.

For the waveform design of the cross-correlation pattern, the cross-correlation constraints are usually modeled in the form of quartic polynomials, and the multilinear maximum incremental algorithm (MBI) is a good choice for solving quartic polynomial optimization problems, but the current The MBI algorithm cannot solve the situation with complex constraints

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