A joint robust optimization method for transmitting and receiving to improve the worst detection performance of mimo-stap

Abstract

Aiming at the problem that the detection performance of multiple-input multiple-output (MIMO) radar space-time adaptive processing (STAP) is sensitive to parameter estimation errors, which leads to poor robustness of system detection probability, the present invention proposes a method in which the prior information of the target is not known. Joint robust optimization method of transmitting waveform and receiving weights. According to the principle of maximizing the output signal-to-interference-noise ratio (SINR), under the constraints of the constant mode model of the transmission waveform, sidelobe and clutter suppression, this patent constructs a joint robust optimization problem of the transmission waveform and the receiving right based on the parameter estimation error convex set. In order to solve the obtained complex nonlinear problem, the present invention proposes an iterative algorithm, and each step in the proposed algorithm can be transformed into a semi-definite programming problem (SDP), thus obtaining an efficient solution. Numerical simulations show that the proposed algorithm can significantly improve the detection robustness of MIMO‑STAP radar compared with non-robust algorithms and uncorrelated waveforms.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to a joint robust optimization method for transmitting and receiving that improves the worst detection performance of MIMO-STAP when the prior information of the target is not known. Background technique [0002] In recent years, with the vigorous development of multiple-input multiple-output (MIMO) communication, and the demand for new theories and technologies for radar to break through its own limitations, the concept of MIMO radar emerged as the times require. In contrast to conventional phased array radars, which can only transmit coherent waveforms, MIMO radars can utilize multiple transmit elements to transmit nearly arbitrary waveforms. According to the distance between adjacent array elements, MIMO radar can be divided into distributed MIMO radar and centralized MIMO radar. Distributed MIMO radar has a large distance between adjacent array elements, and c...

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Problems solved by technology

Therefore, the optimized waveform obtained by relying on these estimates is bound to be affected by estimation errors, resulting in the performance degradation of the MIMO-STAP radar system

In addition, the above detection algorithm does not consider sidelobe and clutter suppression, and suppressing sidelobe can not only concentrate the main energy in the main lobe area to improve the detection ability of the target, but also reduce clutter and false targets from the side lobe area energy of

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