JPH0933641A - Signal processor - Google Patents

Abstract

PROBLEM TO BE SOLVED: To process a plurality of continuous input image data in a real time and reduce a processing time by simultaneously processing range compression, range migration and azimuth compression. SOLUTION: A range compression processing part reads input image data stored in an input data memory, performs range compression processing, and outputs range compression image data to a first intermediate memory. A range migration processing part performs range migration processing for the range compression image data, and outputs distance correction image data to a second intermediate memory. An azimuth compression processing part performs azimuth compression processing for the distance correction image data and outputs processing image data to an output data memory. In this case, range compression for input images (i) in a processing interval, the range migration processing for range compression image data (i-1), and the azimuth compression processing for the distance correction image data (i-2) are performed simultaneously.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION The present invention is used in a signal processing device of a high resolution radar.

[0002]

2. Description of the Related Art High-resolution radars such as synthetic aperture radars are used for observing the ground and the sea regardless of the weather, but in order to recognize changes in volcanic smoke, ship movements, etc. It has become necessary to process a large amount of continuous data in real time with a signal processing device. FIG. 16 is a block diagram showing a configuration of a conventional signal processing device,
Reference numeral 1 denotes an input data memory for storing input image data from the outside, and 8 denotes range compression processing, range migration processing and azimuth compression processing for the input image data stored in the input data memory 1 to output output image data. An arithmetic processing unit 7 for outputting is an output data memory for storing output image data.

The conventional signal processing apparatus is configured as described above, and the arithmetic processing unit 8 performs the following range compression processing and range migration processing on a large amount of input image data input to the input data memory 1 from the outside. And azimuth compression processing are executed in order to output output image data with improved image resolution.

FIG. 17 is a flow chart showing the processing contents of the arithmetic processing unit 8, wherein 18 to 21 show the processing contents of the range compression processing, 22 to 24 show the processing contents of the range migration processing, and 25 to 25. Reference numeral 28 shows the processing contents of the azimuth compression processing. The input image data, range compressed image data, distance corrected image data, and output image data shown below are two-dimensional data having two axes, the azimuth axis direction and the range axis direction. The range compression processing is to correlate the input image data with the range reference function, and the one-dimensional input image data obtained by dividing the input image data along the range axis direction is FFT (Fast Fo).
urier Transformation calculation (step 18), multiplication with a range reference function that correlates with the one-dimensional input image data to improve resolution in the range direction (step 19), and IFFT (Inverse).
Fast Fourier Transform
ion) operation (step 20), and the above operation is performed for all one-dimensional input image data to obtain range compressed image data.

This range compressed image data shows a combination of the distance in the range axis direction and the distance in the azimuth axis direction. Therefore, even if the distance in the range axis direction is the same, the coordinates in the range axis direction are displaced by the distance movement amount which is a function of the value of azimuth. In the range migration processing, the distance shift amount is calculated from the unique azimuth value for each one-dimensional range compressed image data divided along the range axis, that is, having a unique azimuth value (step 2).
2) Then, the one-dimensional range compressed image data is rearranged along the range axis by the distance movement amount that is the calculation result (step 23), and as a result, the distance corrected image data is obtained. Since the azimuth compression processing correlates the distance-corrected image data with the azimuth reference function, the FFT calculation (step 25) is performed for each one-dimensional distance-corrected image data obtained by dividing the distance-corrected image data along the azimuth axis direction (step 25). In order to improve the resolution of the azimuth reference image and the azimuth reference function that correlates with the one-dimensional distance corrected image data (step 2
6) and the IFFT calculation (step 27) and the above operation is performed for all the one-dimensional distance corrected image data to obtain output image data.

In the conventional signal processing device, the arithmetic processing section 8 is used.
Since a general-purpose computer such as a workstation is used in the above, and the processing is performed sequentially according to the processing flow shown in Fig. 17, it takes several minutes to several hours to process the data obtained in the observation time of several seconds. I was trying.

[0007]

Since the conventional signal processing apparatus is configured as described above, there is a problem that continuous observation data for several seconds cannot be processed in real time. Further, in the above-mentioned range compression processing of the related art, it is not possible to simultaneously process the FFT operation performed in the range compression processing, the multiplication with the range reference function, and the IFFT operation, which requires a lot of processing time. was there. Further, in the above-mentioned conventional azimuth compression processing, there is a problem that a lot of processing time is required because the FFT operation performed in the azimuth compression processing, the multiplication with the azimuth reference function, and the IFFT operation cannot be processed at the same time. there were. Further, in the conventional range migration processing, there is a problem that a large amount of processing time is required because the distance movement amount is calculated and the data is rearranged after the range compression processing is completed.

The present invention has been made to solve the above problems, and the processing performed by the arithmetic processing section is distributed to the range compression processing section, the range migration processing section, and the azimuth compression processing section, and An object of the present invention is to disperse the processing performed by the range compression processing unit and the azimuth compression processing unit into FFT operation, multiplication with a range or azimuth reference function, and IFFT operation to process a plurality of continuous input image data in real time. And

[0009]

A signal processing apparatus according to the present invention comprises a range compression processing section, a first intermediate memory, and a range migration in order to disperse processing performed by a conventional calculation processing section. It is divided into a processing unit, a second intermediate memory, and an azimuth compression processing unit.

Further, according to the present invention, the range compression processing unit is FF.
It comprises a pre-stage arithmetic unit having a T arithmetic unit, a range reference function memory and a multiplier, an internal memory, and a post-stage arithmetic unit having an IFFT arithmetic unit.

According to the present invention, the range compression processing section comprises a pre-stage arithmetic section having an FFT arithmetic unit, an internal memory, and a post-stage arithmetic section having a range reference function memory, a multiplier and an IFFT arithmetic unit.

Further, according to the present invention, the range compression processing unit is a pre-stage arithmetic unit, the first internal memory, the multiplication unit, and the compression processing 2.
Of the internal memory and a post-stage arithmetic unit.

According to the present invention, the azimuth compression processing section is composed of a pre-stage arithmetic section having an FFT arithmetic unit, an azimuth reference function memory and a multiplier, an internal memory and a post-stage arithmetic section having an IFFT arithmetic unit.

Further, according to the present invention, the azimuth compression processing unit is
It is composed of a pre-stage arithmetic unit having an FT arithmetic unit, an internal memory, and a post-stage arithmetic unit having an azimuth reference function memory, a multiplier and an IFFT arithmetic unit.

According to the present invention, the azimuth compression processing section comprises a pre-stage arithmetic section, a first internal memory, a multiplication section, a second internal memory and a post-stage arithmetic section.

Further, according to the present invention, the arithmetic processing section comprises a range compression processing section, an intermediate memory, an azimuth compression processing section, a counter and an address generating section.

[0017]

In the signal processing device according to the present invention, the range compression process, the range migration process, and the azimuth compression process, which have been performed by the conventional signal processing device, are dispersed and processed at the same time. Input image data of is processed in real time.

The signal processing device according to the present invention is
In the range compression process, the FFT operation, the multiplication with the range reference function, and the IFFT operation are dispersed and processed simultaneously to process a plurality of continuous input image data in real time.

In the signal processing device according to the present invention, in the range compression process, the FFT operation, the multiplication with the range reference function, and the IFFT operation are dispersed and simultaneously processed, thereby processing a plurality of continuous input image data. Process in real time.

Further, the signal processing device according to the present invention comprises:
In the range compression process, the FFT operation, the multiplication with the range reference function, and the IFFT operation are dispersed and processed simultaneously to process a plurality of continuous input image data in real time.

In the signal processing apparatus according to the present invention, in the azimuth compression processing, the FFT operation, the multiplication with the azimuth reference function, and the IFFT operation are dispersed and simultaneously processed, so that a plurality of continuous distance-corrected image data are processed. Are processed in real time.

The signal processing device according to the present invention is
In the azimuth compression process, the FFT operation, the multiplication with the azimuth reference function, and the IFFT operation are dispersed and processed simultaneously to process a plurality of continuous distance-corrected image data in real time.

In the signal processing device according to the present invention, in the azimuth compression process, the FFT operation, the multiplication with the azimuth reference function, and the IFFT operation are dispersed and processed at the same time to obtain a plurality of continuous distance correction image data. Are processed in real time.

The signal processing device according to the present invention is
The range migration process is performed from the number of the range compression processes, and the range compression process and the azimuth compression process are dispersed and processed simultaneously to process a plurality of continuous input image data in real time.

[0025]

【Example】

Embodiment 1 FIG. 1 is a block diagram showing a first embodiment of the present invention, in which 1 is an input data memory for storing input image data input from the outside, and 2 is input image data output from the input data memory 1. A range compression processing unit 3 that performs range compression processing and outputs range compressed image data stores range compressed image data, and outputs the stored range compressed image data to the range migration processing unit at the same time as storing the range compressed image data. First to do
Intermediate memory 4, a range migration processing unit for performing range migration processing on the range compressed image data output from the first intermediate memory 3 and outputting distance corrected image data, and 5 storing distance corrected image data,
Further, the second intermediate memory 6 which outputs the distance-corrected image data stored at the same time as the storage to the azimuth compression processing unit, 6 performs the azimuth compression processing on the distance-corrected image data output from the second intermediate memory 5, and outputs the output image. An azimuth compression processing unit that outputs data, and an output data memory 7 that stores output image data.

FIG. 2 shows a data flow in the signal processing device configured as described above. The range compression processing unit 2 reads the input image data stored in the input data memory 1, performs range compression processing, and outputs the range compressed image data as a processing result to the first intermediate memory 3. First
Intermediate memory 3 stores the input range compressed image data, and the range migration processing unit 4 performs range migration processing on the range compressed image data stored in the first intermediate memory 3 to correct the distance as a result. The image data is output to the second intermediate memory 5. The second intermediate memory 5 stores the input distance-corrected image data,
The azimuth compression processing unit 6 performs azimuth compression processing on the distance correction image data stored in the second intermediate memory 5 and outputs processed image data as a processing result to the output data memory 7. Since the above is continuously performed, when processing a plurality of consecutive input image data, as shown in FIG. 2, in the processing section i, the range compression processing for the input image data i and the range compressed image data i- Range migration processing for 1 and distance correction image data i-2
The azimuth compression process for the above can be performed simultaneously. Therefore, processed image data can be generated and output in real time with respect to continuous input image data.

Embodiment 2 FIG. FIG. 3 shows a second embodiment of the present invention and is a block diagram showing a configuration of the range compression processing unit 2 of FIG. 9 is a front-stage arithmetic unit, 10 is an internal memory, 11 is a rear-stage arithmetic unit, 31 is a front-stage arithmetic unit 9,
An FFT calculator for performing an FFT operation, a range reference function memory 32 for holding a range reference function as data, a multiplier for multiplying the output of the FFT calculator 31 and the range reference function, and a latter-stage calculator 11 At the IFF
It is an IFFT calculator that performs T calculation.

FIG. 4 shows the data flow of the range compression processing unit 2 configured as described above. Assuming that the time is divided based on the processing time of the pre-stage arithmetic unit 9 and the i-th section is a processing section i, the pre-stage arithmetic section 9 will process the i-th one-dimensional input image data i in the processing section i. Then, the FFT operation and the range reference function are multiplied to output the intermediate data i to the internal memory 10. The internal memory 10 stores the intermediate data i, and at the same time, outputs the intermediate data i-1 stored in the internal memory 10 to the post-stage arithmetic unit 11 in the processing section i-1. The post-stage arithmetic unit 11 performs IFF on the intermediate data i-1.
The T operation is performed and the one-dimensional range compressed image data i-1 is output. By continuously performing the above processing, the FFT operation of the pre-stage operation unit 9 and the multiplication with the range reference function and the IFFT operation of the post-stage operation unit 11 can be performed at the same time. A compression process can be performed, and one-dimensional range compressed image data can be generated and output in real time.

Example 3. FIG. 5 shows a third embodiment of the present invention and is a block diagram showing a configuration of the range compression processing unit 2 of FIG. 9 is a front-stage arithmetic unit, 10 is an internal memory, 11 is a rear-stage arithmetic unit, 31 is an F-stage in the front-stage arithmetic unit 9.
FFT calculator for performing FT operation, 32 is a range reference function memory for holding the range reference function as data in the post-stage operation unit 11, 33 is a multiplier for multiplying the output of the internal memory 10 and the range reference function, and 34 is a multiplier It is an IFFT calculator that performs an IFFT calculation on 33 outputs.

FIG. 6 shows the data flow of the range compression processing section 2 configured as described above. Assuming that the time is divided based on the processing time of the pre-stage arithmetic unit 9 and the i-th section is a processing section i, the pre-stage arithmetic section 9 will process the i-th one-dimensional input image data i in the processing section i. Then, the FFT operation is performed to output the intermediate data i to the internal memory 10. The internal memory 10 stores the intermediate data i, and at the same time, the intermediate data i- stored in the internal memory 10 in the processing section i-1.
1 is output to the post-stage calculation unit 11. The post-stage arithmetic unit 11 multiplies the intermediate data i-1 by the range reference function and performs IFF.
The T operation is performed and the one-dimensional range compressed image data i-1 is output. By performing the above processing continuously, the FFT operation of the pre-stage operation unit 9, the multiplication with the range reference function of the post-stage operation unit 11, and the IFFT operation can be performed at the same time.
Range compression processing can be performed on the dimensional input image data, and one-dimensional range compressed image data can be generated and output in real time.

Example 4. FIG. 7 shows Embodiment 4 of the present invention and is a block diagram showing the configuration of the range compression processing unit 2 of FIG. 9 is a pre-stage arithmetic unit, 12 is a first internal memory, 13 is a multiplication unit, 14 is a second internal memory, 11
Is a post-stage arithmetic unit, 31 is an FFT arithmetic unit that performs FFT arithmetic in the pre-stage arithmetic unit 9, 32 is a range reference function memory that holds the range reference function as data in the multiplication unit 13, and 33 is the first internal memory 12 output and range A multiplier that multiplies the output of the reference function memory 32, and an IFFT calculator 34 that performs an IFFT operation of the output of the second internal memory 14 in the post-stage arithmetic unit 11.

FIG. 8 shows the data flow of the range compression processing section 2 configured as described above. The time is divided based on the processing time of the pre-stage arithmetic unit 9, and the i-th section is processed section i
And In the processing section i, the pre-stage arithmetic unit 9 performs the FFT operation on the i-th input one-dimensional input image data i and outputs the intermediate data Ai which is the result as the first internal memory 1
Output to 2. The first internal memory 12 stores the intermediate data Ai.
And the intermediate data Ai-1 stored in the processing section i-1 at the same time is output to the multiplication unit 13. The multiplication unit 13 multiplies the intermediate data Ai-1 by the range reference function,
The resulting intermediate data Bi-1 is output to the second internal memory 14. The second internal memory 14 stores the intermediate data B
The intermediate data Bi-2 stored in i-1 and at the same time stored in the processing section i-2 is output to the post-stage arithmetic operation section 11. The post-stage operation unit 11 performs IFFT operation on the intermediate data Bi-2 and outputs the result of the one-dimensional range compressed image data i-
2 is output. By continuously performing the above processing, the FFT operation of the pre-stage operation unit 9, the multiplication with the range reference function of the multiplication unit 13, and the IFFT operation of the post-stage operation unit 11 can be performed at the same time, so that continuous one-dimensional input image data is obtained. The range compression processing can be performed, and one-dimensional range compressed image data can be generated and output in real time.

Example 5. FIG. 9 shows a fifth embodiment of the present invention and is a block diagram showing a configuration of the azimuth compression processing unit 6 of FIG. Reference numeral 9 is a front-stage arithmetic unit, 10 is an internal memory, 11 is a rear-stage arithmetic unit, 31 is an FFT arithmetic unit for performing an FFT operation in the front-stage arithmetic unit 9, 35 is an azimuth reference function memory that holds an azimuth reference function as data, 33 Is a multiplier that multiplies the output of the FFT calculator 31 and the azimuth reference function, and 34 is an IFFT calculator that performs the IFFT calculation in the post-stage calculation unit 11.

FIG. 10 shows a data flow of the azimuth compression processing section 6 configured as described above. When the time is divided based on the processing time of the pre-stage calculation unit 9 and the i-th section is defined as the process section i, the pre-stage calculation section 9 outputs the i-th one-dimensional distance-corrected image data i at the process section i. To F
The FT operation and the azimuth reference function are multiplied and the intermediate data i is output to the internal memory 10. The internal memory 10 stores the intermediate data i, and at the same time, stores the intermediate data i-1 stored in the internal memory 10 in the processing section i-1 in the post-stage operation unit 1.
Output to 1. The post-stage calculation unit 11 performs IFFT calculation on the intermediate data i-1 and outputs one-dimensional output image data i-1. By continuously performing the above processing, the FFT operation of the pre-stage arithmetic unit 9 and the multiplication with the azimuth reference function and the IFFT arithmetic of the post-stage arithmetic unit 11 can be performed at the same time, so that the azimuth compression for the continuous one-dimensional distance correction image data is performed. Processing can be performed, and one-dimensional output image data can be generated and output in real time.

Embodiment 6 FIG. FIG. 11 shows Embodiment 6 of the present invention and is a block diagram showing the configuration of the azimuth compression processing unit 6 of FIG. Reference numeral 9 is a front-stage arithmetic unit, 10 is an internal memory, 11 is a rear-stage arithmetic unit, 31 is an FFT arithmetic unit for performing FFT arithmetic in the front-stage arithmetic unit 9, and 35 is a rear-stage arithmetic unit 1.
In FIG. 1, 1 is an azimuth reference function memory that holds the azimuth reference function as data, 33 is a multiplier that multiplies the output of the internal memory 10 by the azimuth reference function, and 34 is an IFFT calculator that performs an IFFT operation.

FIG. 12 shows the data flow of the azimuth compression processing section 6 configured as described above. When the time is divided based on the processing time of the pre-stage calculation unit 9 and the i-th section is defined as the processing section i, in the processing section i, the pre-stage calculation section 9 processes the i-th input one-dimensional distance correction image data i. FF
The T operation is performed and the intermediate data i is output to the internal memory 10. The internal memory 10 stores the intermediate data i, and at the same time, outputs the intermediate data i-1 stored in the internal memory 10 to the post-stage arithmetic unit 11 in the processing section i-1. Second-stage arithmetic unit 1
1 outputs the one-dimensional output image data i-1 by performing multiplication with the azimuth reference function and IFFT operation on the intermediate data i-1. By continuously performing the above processing, the FFT operation of the front-stage operation unit 9, the multiplication with the azimuth reference function of the rear-stage operation unit 11 and the IFFT operation can be performed at the same time, so that the azimuth compression process for continuous one-dimensional distance correction image data is performed. The one-dimensional output image data can be generated and output in real time.

Embodiment 7 FIG. 13 shows Embodiment 7 of the present invention and is a block diagram showing the configuration of the azimuth compression processing unit 6 of FIG. 9 is a pre-stage arithmetic unit, 12 is a first internal memory, 13 is a multiplication unit, 14 is a second internal memory,
Reference numeral 11 is a post-stage arithmetic unit, and 31 is an FF in the pre-stage arithmetic unit 9.
An FFT calculator for performing a T operation, 35 is an azimuth reference function memory that holds an azimuth reference function as data in the multiplication unit 13, 33 is a multiplier that multiplies the output of the first internal memory 12 and the output of the azimuth reference function memory 35, 34 is the I of the output of the second internal memory 14 in the post-stage arithmetic unit 11.
It is an IFFT calculator that performs FFT calculation.

FIG. 14 shows the data flow of the azimuth compression processing section 6 configured as described above. The time is divided based on the processing time of the pre-stage arithmetic unit 9 and the i-th section is set as the processing section i. In the processing section i, the pre-stage calculation unit 9 performs the FFT on the i-th input one-dimensional distance correction image data i.
The calculation is performed and the intermediate data Ai which is the result is output to the first internal memory 12. The first internal memory 12 stores the intermediate data Ai, and simultaneously outputs the intermediate data Ai-1 stored in the processing section i-1 to the multiplication unit 13. The multiplier 13 multiplies the intermediate data Ai-1 by the azimuth reference function and outputs the resulting intermediate data Bi-1 to the second internal memory 14. The second internal memory 14 stores the intermediate data Bi-1, and at the same time, the processing section i-2.
The intermediate data Bi-2 stored in the above is output to the post-stage calculation unit 11. The latter-stage arithmetic unit 11 sets I for the intermediate data Bi-2.
The FFT operation is performed and the resulting one-dimensional output image data i-2 is output. By continuously performing the above processing, the FFT operation of the pre-stage operation unit 9, the multiplication with the azimuth reference function of the multiplication unit 13, and the IFFT operation of the post-stage operation unit 11 can be performed at the same time. Azimuth compression processing can be performed on the data, and one-dimensional output image data can be generated and output in real time.

Example 8. FIG. 15 is a configuration diagram showing an eighth embodiment of the present invention, and 1, 2, 6, 7 are the same as those in FIG. Reference numeral 16 is a counter that counts the number of times of processing by the range compression processing unit 2, 17 is an address generation unit that calculates the distance movement amount based on the value of the counter, and generates an offset address according to the distance movement amount, and 15 is the range compressed image data. It is an intermediate memory which receives and stores at the address indicated by the address generator 17.

In the signal processing device configured as described above, the range compression processing unit 2 performs range compression processing for each one-dimensional input image data output from the input data memory 1 and outputs one-dimensional range compressed image data. To do. The counter 16 counts the number of times the range compression processing unit 2 has processed the one-dimensional input image data, and outputs the count value to the address generation unit 17. At this time, the range compression processing unit 2
By processing the one-dimensional input image data in the order of the unique azimuth value, the counter value corresponds to the azimuth value, and the distance movement amount that is a function of the azimuth value should be regarded as a function of the count value. You can The address generator 17 calculates the distance movement amount from the count value and outputs to the intermediate memory 15 an offset address such that the one-dimensional range compressed image data is stored in the intermediate memory 15 with a shift by the distance movement amount. The intermediate memory 15 receives the one-dimensional range compressed image data from the range compression processing unit 2 and stores it in the offset address which is the output of the address generation unit 17 at that time, thereby performing the range migration process. The azimuth compression processing unit 6 performs azimuth compression processing on the distance correction image data stored in the intermediate memory 15, and stores the output image data in the output data memory 7.

[0041]

As described above, according to the present invention, the devices for performing the processing are arranged in parallel so that the range compression processing, the range migration processing, and the azimuth compression processing can be performed at the same time. This has the effect of shortening the processing that took several hours to several seconds.

Further, according to the present invention, the FFT calculator,
A range compression process is executed in real time by arranging a multiplier and an IFFT operation unit in parallel, and arranging them so that the FFT operation and range reference function multiplication in the range compression process and the IFFT operation can be performed at the same time. Has the effect of

According to the present invention, the FFT calculator, the multiplier, and the IFFT calculator are arranged in parallel, and the FFT calculation in the range compression processing, the multiplication with the range reference function, and the I
By being configured so that the FFT operation and the FFT operation can be performed at the same time, the range compression processing can be executed in real time.

According to the present invention, the FFT calculator,
A range compression process is executed in real time by arranging a multiplier and an IFFT calculator in parallel so that the FFT calculation in the range compression process, the multiplication with the range reference function, and the IFFT calculation can be performed at the same time. Has the effect of

According to the present invention, the FFT arithmetic unit, the multiplier and the IFFT arithmetic unit are arranged in parallel, and the FFT arithmetic operation in the azimuth compression processing and the multiplication with the azimuth reference function and the IFFT arithmetic operation can be simultaneously performed. With this configuration, the azimuth compression process can be executed in real time.

Further, according to the present invention, an FFT calculator,
The azimuth compression processing is executed in real time by arranging the multiplier and the IFFT operation unit in parallel so that the FFT operation in the azimuth compression processing, the multiplication with the azimuth reference function, and the IFFT operation can be simultaneously performed. effective.

According to the present invention, the FFT calculator, the multiplier, and the IFFT calculator are arranged in parallel, and the FFT calculation in the azimuth compression process, the multiplication with the azimuth reference function, and the IFFT calculation can be simultaneously performed. By being configured as described above, there is an effect that the azimuth compression processing is executed in real time.

Further, according to the present invention, the devices for performing the processing are arranged in parallel, and the range compression processing and the azimuth compression processing can be performed at the same time, and the address can be calculated from the number of the range compression processing. Since the range migration processing is performed at the time of data transfer, the processing that took several hours is shortened to several seconds.

[Brief description of drawings]

FIG. 1 is a configuration block diagram showing a first embodiment of the present invention.

FIG. 2 is a processing flow chart for explaining the operation of the first embodiment of the present invention.

FIG. 3 is a configuration block diagram showing a second embodiment of the present invention.

FIG. 4 is a processing flow chart for explaining the operation of the second embodiment of the present invention.

FIG. 5 is a configuration block diagram showing a third embodiment of the present invention.

FIG. 6 is a processing flow chart for explaining the operation of the third embodiment of the present invention.

FIG. 7 is a configuration block diagram showing a fourth embodiment of the present invention.

FIG. 8 is a process flow chart for explaining the operation of the fourth embodiment of the present invention.

FIG. 9 is a configuration block diagram showing a fifth embodiment of the present invention.

FIG. 10 is a process flow diagram for explaining the operation of the fifth embodiment of the present invention.

FIG. 11 is a configuration block diagram showing a sixth embodiment of the present invention.

FIG. 12 is a processing flow chart for explaining the operation of the sixth embodiment of the present invention.

FIG. 13 is a configuration block diagram showing a seventh embodiment of the present invention.

FIG. 14 is a processing flow chart for explaining the operation of the seventh embodiment of the present invention.

FIG. 15 is a configuration block diagram showing an eighth embodiment of the present invention.

FIG. 16 is a configuration block diagram showing a conventional signal processing device.

FIG. 17 is a flowchart showing the processing contents of a conventional signal processing device.

[Explanation of symbols]

DESCRIPTION OF SYMBOLS 1 input data memory, 2 range compression processing section, 3 first intermediate memory, 4 range migration processing section, 5
Second intermediate memory, 6 azimuth compression processing section, 7 output data memory, 8 arithmetic processing section, 9 pre-stage arithmetic section, 1
0 internal memory, 11 second-stage arithmetic unit, 12 first internal memory, 13 multiplication unit, 14 second internal memory, 15
Intermediate memory, 16 counter, 17 address generator, 31 FFT calculator, 32 range reference function memory,
33 multiplier, 34 IFFT calculator, 35 azimuth reference function memory.

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Eiji Sakaguchi 6-2-3, Roppongi, Minato-ku, Tokyo MCC Inc.

Claims (8)

[Claims] 1. An input data memory for storing input image data continuously input from the outside, and a range compression process for the input image data stored in the input data memory to output range compressed image data. The range compression processing unit, the first intermediate memory that inputs the range compressed image data and stores a plurality of range compressed image data, and the range compressed image data stored in the first intermediate memory. A range migration processing unit that performs range migration processing and outputs distance correction image data, a second intermediate memory that inputs the distance correction image data and stores a plurality of distance correction image data, and a second intermediate memory Azimuth compression processing that performs azimuth compression processing on stored distance-corrected image data and outputs output image data And a output data memory for storing the output image data. 2. FFT (Fas) for input image data
t Fourier Transformation) FFT calculator, range reference function memory storing a range reference function that correlates with input image data to improve resolution in the range direction, FFT calculator output and range reference function memory An IFFT (Inverse Fast) is applied to the intermediate data stored in the internal memory that stores the output of the preceding arithmetic unit, the former arithmetic unit that includes a multiplier that multiplies the outputs.
2. The signal processing apparatus according to claim 1, further comprising an IFFT calculator for performing Fourier Transform calculation, and the range compression processing section is configured by a latter-stage calculation section that outputs range compressed image data. 3. A pre-stage arithmetic unit having an FFT arithmetic unit for performing FFT arithmetic on input image data, an internal memory storing the output of the pre-stage arithmetic unit, and a range reference function storing a range reference function. Memory, a multiplier for multiplying the intermediate data stored in the internal memory with a range reference function memory output, and an IFF for the multiplier output
2. The signal processing apparatus according to claim 1, further comprising an IFFT calculator for performing T calculation, and a range compression processing section including a latter-stage calculation section for outputting range compressed image data. 4. An FFT operator for performing an FFT operation on input image data, a pre-stage arithmetic unit for outputting first intermediate data, and a first internal memory for storing the first intermediate data, A range reference function memory storing a range reference function; and a multiplier for multiplying the first intermediate data by the range reference function memory output, and a second
And a second internal memory that stores the second intermediate data, and an IFFT calculator that performs an IFFT operation on the second intermediate memory.
2. The signal processing device according to claim 1, wherein the range compression processing unit is configured by the latter-stage arithmetic unit that outputs the range compressed image data. 5. An FFT calculator for performing an FFT operation on the distance-corrected image data, an azimuth reference function memory storing an azimuth reference function correlated with the distance-corrected image data to improve resolution in the azimuth direction, A pre-stage arithmetic unit having an FFT arithmetic unit output and a multiplier for multiplying the azimuth reference function memory output, an internal memory storing the output of the pre-stage arithmetic unit, and intermediate data stored in the internal memory. The signal processing device according to claim 1, further comprising an IFFT calculator for performing IFFT calculation, and the azimuth compression processing unit is configured by a latter-stage calculation unit that outputs the output image data. 6. A pre-stage arithmetic unit having an FFT arithmetic unit for performing FFT arithmetic on distance corrected image data, an internal memory storing the output of the pre-stage arithmetic unit, and an azimuth reference storing an azimuth reference function. A function memory, a multiplier for multiplying the intermediate data stored in the internal memory with the azimuth reference function memory output, and an IFFT calculator for performing an IFFT operation on the multiplier output,
2. The signal processing apparatus according to claim 1, wherein the azimuth compression processing section is configured by a post-stage arithmetic section that outputs the output image data. 7. An FFT operator for performing an FFT operation on the distance-corrected image data, a pre-stage arithmetic unit for outputting first intermediate data, and a first arithmetic unit for storing the first intermediate data.
Internal memory, an azimuth reference function memory that stores an azimuth reference function, and a multiplier that multiplies the first intermediate data by the azimuth reference function memory output, and outputs second intermediate data. And a second multiplication unit
Second internal memory for storing intermediate data of
2. The signal processing device according to claim 1, further comprising an IFFT arithmetic unit for performing IFFT arithmetic operation on the intermediate data, and an azimuth compression processing unit including the latter-stage arithmetic unit outputting the output image data. 8. An input data memory for storing input image data input from the outside, and a range compression for performing range compression processing on the input image data stored in the input data memory and outputting range compressed image data. Address for generating a processing unit, a counter for counting the number of times of processing of the range compression processing unit, a moving distance in the range direction by the value of the counter, and generating an offset address of the range compressed image data according to the moving distance amount A generation unit, an intermediate memory that stores the range compressed image data at the address indicated by the address generation unit, and an azimuth that outputs the output image data by subjecting the range compressed image data stored in the intermediate memory to azimuth compression processing. A compression processing section and an output data memory for storing output image data are provided. Signal processing device.