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Direction estimation method of MIMO-UKF-MUSIC (Multiple Input Multiple Output-Unscented Kalman Filter-Multiple Signal Classification) target

A MIMO-UKF-MUSIC, target-oriented technology, applied in computing, radio wave reflection/re-radiation, special data processing applications, etc., to achieve the effects of interference suppression, accuracy improvement, and estimation accuracy improvement

Inactive Publication Date: 2014-12-24
HARBIN INST OF TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a method for estimating the direction of the target in order to solve the shortcomings of the existing target direction estimation process that is susceptible to the influence of fluctuating signal-to-noise ratio and time-varying strong interference

Method used

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  • Direction estimation method of MIMO-UKF-MUSIC (Multiple Input Multiple Output-Unscented Kalman Filter-Multiple Signal Classification) target
  • Direction estimation method of MIMO-UKF-MUSIC (Multiple Input Multiple Output-Unscented Kalman Filter-Multiple Signal Classification) target
  • Direction estimation method of MIMO-UKF-MUSIC (Multiple Input Multiple Output-Unscented Kalman Filter-Multiple Signal Classification) target

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specific Embodiment approach 1

[0025] The MIMO-UKF-MUSIC target direction estimation method of this embodiment, such as image 3 and Figure 4 As shown, the target direction estimation method is realized through the following steps:

[0026] Step 1: Obtain multiple sets of DOA estimated values ​​and multiple sets of DOD estimated values ​​in the multi-sensor array under the MIMO system,

[0027] Step 2: Then filter the DOA estimated value and the DOD estimated value respectively to obtain multiple sets of DOA estimated filter values ​​and multiple sets of DOD estimated filtered values, and calculate the mean value of multiple sets of DOA estimated filter values ​​and multiple sets of DOD estimated filtered values ​​to obtain the final DOA estimates and final DOD estimates;

[0028] Such as figure 1 , the calculation process of each group of DOA estimated filter values ​​in step 1 is:

[0029] Step 11: use the front-back spatial smoothing MUSIC algorithm to estimate the DOA of the transmitted signal rece...

Embodiment 1

[0036] In the MIMO-UKF-MUSIC target direction estimation method described in Embodiment 1, the forward and backward spatial smoothing MUSIC algorithm described in step 14 in step 11 is specifically:

[0037] First, calculate the covariance matrix: in,

[0038] The forward smoothing covariance is: p represents the number of divided sub-arrays and p=M-m+1, M is the number of array elements, m is the number of array elements of each sub-array, wherein, S i Indicates the subarray data covariance, A H Denotes the conjugate transpose of the array-steering vector matrix A, I denotes the identity matrix, P f represents the forward smoothing covariance matrix and P f = 1 p Σ i = 1 p D i - 1 P ( ...

specific Embodiment approach 3

[0046] According to the MIMO-UKF-MUSIC target direction estimation method described in Embodiment 2, the number p of sub-arrays is: p=D+1; wherein, D is the number of signal sources.

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Abstract

The invention relates to a direction estimation method of an MIMO-UKF-MUSIC (Multiple Input Multiple Output-Unscented Kalman Filter-Multiple Signal Classification) target. In the actual direction finding process, according to an MUSIC spatial spectrum estimation algorithm, fluctuating target signal-to-noise ratio and time-varying strong interference commonly occur, radar signals of a plurality of targets of an MIMO sky wave radar are coherent signals, the disadvantageous conditions need to be deeply analyzed, and the estimation performance of an MUSIC algorithm under non-ideal conditions is improved. The direction estimation method comprises the following steps of 1, acquiring a plurality of groups of DOA (Direction of Arrival) estimation values and a plurality of groups of DOD (Direction of Departure) estimation values in a plurality of sensor arrays under an MIMO system; 2, filtering the DOA estimation values and the DOD estimation values respectively to obtain a plurality of groups of DOA estimation filtering values and a plurality of groups of DOD estimation filtering values, and averaging the plurality of groups of DOA estimation filtering values and the plurality of groups of DOD estimation filtering values to obtain final DOA estimation and final DOD estimation. The direction estimation method of the MIMO-UKF-MUSIC target is applicable to the field of array signal processing.

Description

technical field [0001] The invention relates to a MIMO-UKF-MUSIC target direction estimation method, which belongs to the field of array signal processing. Background technique [0002] MIMO (Multiple input muitiple output) radar system is a new concept in the field of radar, which has shown great potential and advantages. With its multiple input and multiple output characteristics, MIMO radar has unique advantages in increasing space sampling, anti-stealth, anti-electronic countermeasures and jamming. In order to ensure its own survivability, master the control of electromagnetic power, and achieve the purpose of effective monitoring of targets, the radar system needs to have good azimuth resolution and be able to quickly and accurately identify and locate the target. Therefore, good target orientation estimation performance is very important for MIMO radar system to detect target information. [0003] At present, the theory of spatial spectrum estimation algorithm repres...

Claims

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Application Information

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IPC IPC(8): G06F19/00G01S7/36G01S7/41G01S13/66
Inventor 侯煜冠白杨侯成宇
Owner HARBIN INST OF TECH
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