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Robust waveform optimization method for improving MIMO-STAP detection performance

A wave-optimized and robust technology, applied in the field of signal processing, can solve the problems of existence error, parameter estimation error sensitivity, poor detection performance, etc.

Inactive Publication Date: 2014-06-11
DALIAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the actual environment, these parameters can only be obtained by estimation, so there are inevitably errors
Therefore, in practical applications, based on a certain estimated value, the obtained waveform may lead to poor detection performance of the system on the actual parameter value, that is, it is sensitive to parameter estimation error

Method used

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  • Robust waveform optimization method for improving MIMO-STAP detection performance
  • Robust waveform optimization method for improving MIMO-STAP detection performance
  • Robust waveform optimization method for improving MIMO-STAP detection performance

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Embodiment Construction

[0064] Attached below figure 2 The implementation steps of the present invention are further described in detail:

[0065] (1) Express the output SINR

[0066] 1a) MIMO-STAP received signal description

[0067] Consider as shown in the accompanying drawings figure 1 MIMO-STAP scenario shown. In this scenario, the transmitting array and receiving array of the MIMO radar are both uniform linear arrays and placed in parallel, and the number of array elements is with , and the array element spacing is with . The radar platform flies in a straight line at a constant speed along the direction parallel to the transmitting and receiving arrays, and the flying height and speed are respectively with . The angle between the target and the transmitting and receiving array normal is motion in a straight line with a speed of , and is in the same plane as the radar platform. Within a coherent processing interval (CPI), each transmitting array element radiates simultaneo...

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Abstract

The invention discloses a robust waveform optimization method for improving MIMO-STAP detection performance. The robust waveform optimization method includes the steps that firstly, an MIMO-STAP model is built; secondly, an actual space-time-frequency steering vector model is built for dealing with the situation that estimation errors exist in space-time-frequency steering vectors, and the robust waveform optimization problem is described accordingly; thirdly, the robust waveform optimization problem is slacked to be the SDP problem through the diagonal loading method, and therefore a solution can be efficiently obtained through multiple mature optimization toolboxes. Because robust design for dealing with the situation that estimation errors exist in parameters needed in solving the waveform optimization problem is considered, the robust waveform optimization method is closer to actual scenes and has high practical value; because the robust waveform optimization problem is slacked to be the SDP problem through the diagonal loading method, the solution can be efficiently obtained.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a robust waveform optimization method for improving MIMO-STAP detection performance. Based on the idea of ​​maximizing the output signal-to-interference-noise ratio (SINR) by designing the transmitted waveform to improve system detection performance, the proposed method takes into account the estimation error of the parameters required for optimizing the waveform, which makes the system performance sensitive to this estimation error. By explicitly including the parameter estimation error into the waveform optimization problem, the transmit waveform and the parameter estimation error are jointly optimized to improve the robustness of the waveform optimization method. This method can significantly improve the system detection performance in the worst case, thereby significantly reducing the sensitivity of the waveform optimization method to parameter estimation errors, and thus...

Claims

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Application Information

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IPC IPC(8): G01S7/02
CPCG01S7/02
Inventor 王洪雁裴炳南汪祖民刘艳裴腾达
Owner DALIAN UNIVERSITY
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